CN111806291A - Vehicle and battery matching method, device, system and readable storage medium - Google Patents

Abstract

The embodiment of the invention provides a method, a device and a system for matching a vehicle and a battery and a readable storage medium, and relates to the technical field of matching of the vehicle and the battery. The matching method of the vehicle and the battery comprises the following steps: obtaining a prediction result of future use behaviors of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement; and according to the prediction result, determining a target matched battery to be replaced on the vehicle to be replaced in the matched batteries in the target battery replacing station. The technical scheme provided by the embodiment of the invention can solve the problems that the performance difference of the batteries in the battery replacement station is large and the operation efficiency of the batteries is influenced due to the battery replacement strategy in the prior art to a certain extent.

Description

Vehicle and battery matching method, device, system and readable storage medium

technical field

The present invention relates to the technical field of vehicle-battery matching, and in particular, to a vehicle-battery matching method, device, system and readable storage medium.

Background technique

With the increasing reduction of non-renewable energy (such as petroleum) and the urgent need for environmental improvement, new energy vehicles emerge as the times require, for example, electric vehicles powered by power batteries (such as pure electric vehicles, electromechanical hybrid vehicles, fuel cell vehicles) etc.), has been increasingly put into people's lives.

For electric vehicles, how to provide a fast and effective solution when the power is insufficient has become a major concern of users and manufacturers. At present, the main power supply schemes include: charging scheme and power exchange scheme. For the charging solution, the charging gun connected to the power supply can be connected to the charging interface of the vehicle to charge the power battery on the vehicle, which takes a long time. For the power replacement scheme, the power battery that is depleted on the vehicle is directly replaced with a fully charged power battery, which takes a short time. It can be seen that, compared with the charging solution, the power exchange solution can solve the problem of insufficient power in a shorter time, so it is more favored by users and manufacturers.

For the power exchange scheme, it is usually realized by a power exchange station that provides battery operation services, so that the power battery can be transferred and dispatched in the vehicle. As shown in Figure 1, the power battery is stored in the battery compartment in the battery swap station, and the vehicle is swapped at the battery swap platform. However, in the prior art, the batteries are randomly selected when the power exchange station is performing power exchange, which may cause some batteries to be overused and some batteries to be used too infrequently, resulting in uneven performance of the batteries in the power exchange station. At the same time, this may also affect the user's experience. When the user uses a battery with poor performance, it will affect the user's evaluation of the power exchange station, and then abandon the power exchange at the power exchange station in the future, which will affect the operation efficiency of the battery. .

SUMMARY OF THE INVENTION

The present invention provides a method, device, system and readable storage medium for matching a vehicle and a battery, so as to solve the power exchange strategy in the prior art to a certain extent, resulting in a large difference in the performance of the batteries in the power exchange station, and Issues affecting battery operating efficiency.

In a first aspect of the implementation of the present invention, a method for matching a vehicle and a battery is provided, and the method for matching a vehicle and a battery includes:

Obtain the prediction result of the future usage behavior of the vehicle to be replaced after the current battery replacement to the next battery replacement;

According to the prediction result, among the matching batteries in the target swapping station, determine the target matching battery to be replaced on the vehicle to be swapped.

Optionally, according to the prediction result, among the matching batteries in the target battery swap station, determining the target matching battery to be replaced on the vehicle to be battery swapped includes:

According to the prediction result, the variation of the target parameter of each matching battery in the target battery swap station is evaluated; wherein, the variation of the target parameter is: if the matching battery is replaced this time to the to-be-replaced battery On the electric vehicle, the amount of change in the target parameter of the matching battery when the vehicle to be battery-swapped is replaced next time compared to the current time of battery-swapping;

According to the variation of the target parameter, among the matching batteries in the target battery swap station, a target matching battery to be replaced on the vehicle to be battery swapped is determined.

Optionally, the target parameter includes at least one of: a detectable degree of battery hidden danger, a degree of battery health decay, and a rate of battery health decay.

Optionally, according to the variation of the target parameter, in the matching battery in the target battery swap station, determining the target matching battery to be replaced on the vehicle to be battery swapped includes:

sorting each of the matched batteries in the target swapping station according to the variation of the target parameter;

The target matching battery is determined according to the sorting order of the matching batteries.

Optionally, before obtaining the prediction result of the future usage behavior of the vehicle to be swapped after the current swap to the next swap, the method for matching the vehicle and the battery further includes:

According to the historical usage behavior data and current location information of the vehicle to be swapped, the future usage behavior of the vehicle to be swapped from the current swap to the next swap is predicted, and the prediction result is obtained.

Optionally, the future usage behavior includes: the time and place of the next power exchange, the accumulated cruising range and accumulated throughput power required for the use of the power battery after the current power exchange and before the next power exchange, and The charging behavior, driving behavior, and parking behavior after the current power exchange and before the next power exchange.

Optionally, the target swapping station is a swapping station where the vehicle to be swapped is currently located, or a swapping station within a preset range of the current position of the vehicle to be swapped.

Optionally, in the case that the target battery swapping station is a battery swapping station within a preset range of the current position of the vehicle to be battery swapped, after it is determined to replace the target matching battery on the vehicle to be battery swapped, the The matching method between the vehicle and the battery also includes:

Send recommendation information to the target terminal device;

Wherein, the recommendation information includes: the name and geographic location of the swap station where the target matching battery is located.

In a second aspect of the implementation of the present invention, a vehicle-battery matching device is provided, and the vehicle-battery matching device includes:

an obtaining module, used to obtain the prediction result of the future usage behavior of the vehicle to be replaced after the current battery replacement to the next battery replacement;

A determining module, configured to determine, according to the prediction result obtained by the determining module, a target matching battery to be replaced on the vehicle to be swapped among the matching batteries in the target battery swapping station.

Optionally, the determining module includes:

An evaluation unit, configured to evaluate the change amount of the target parameter of each matching battery in the target battery swap station according to the prediction result; wherein, the change amount of the target parameter is: if the matching battery is replaced this time to the vehicle to be replaced, the amount of change in the target parameter of the matched battery when the vehicle to be replaced is replaced next time compared to the current time of battery replacement;

and a determining unit, configured to, according to the variation of the target parameter, determine, among the matching batteries in the target battery swapping station, a target matching battery to be replaced on the vehicle to be battery swapped.

Optionally, the target parameter includes at least one of: a detectable degree of battery hidden danger, a degree of battery health decay, and a rate of battery health decay.

Optionally, the determining unit includes:

a sorting subunit, configured to sort each of the matched batteries in the target battery swap station according to the variation of the target parameter;

A determination subunit, configured to determine the target matching battery according to the sorting order of the matching battery by the sorting subunit.

Optionally, the matching device for the vehicle and the battery further includes:

The prediction module is used for predicting the future usage behavior of the vehicle to be swapped from the current power swap to the next power swap according to the historical usage behavior data and current location information of the to-be-swapped vehicle, and obtains the predicted result.

Optionally, the future usage behavior includes: the time and place of the next power exchange, the accumulated cruising range and accumulated throughput power required for the use of the power battery after the current power exchange and before the next power exchange, and The charging behavior, driving behavior, and parking behavior after the current power exchange and before the next power exchange.

Optionally, the target swapping station is a swapping station where the vehicle to be swapped is currently located, or a swapping station within a preset range of the current position of the vehicle to be swapped.

Optionally, in the case that the target swapping station is a swapping station within a preset range of the current position of the vehicle to be swapped, the device for matching the vehicle and the battery further includes:

The sending module is used to send the recommendation information to the target terminal device;

Wherein, the recommendation information includes: the name and geographic location of the swap station where the target matching battery is located.

In a third aspect of the embodiments of the present invention, a vehicle-battery matching system is provided, including: a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the system as described in the first The steps in the method for matching a vehicle and a battery described in one aspect.

In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the method for matching a vehicle and a battery according to the first aspect is implemented steps in .

For the prior art, the present invention has the following advantages:

In the embodiment of the present invention, before the vehicle is replaced, the power battery to be replaced on the vehicle is determined in the target battery swap station according to the predicted future use behavior of the vehicle. Different usage behaviors of vehicles have different effects on the performance of the power battery. Therefore, according to the future use behavior of the vehicle, you can choose to replace the power battery with a vehicle that is conducive to optimizing its performance, so that the power battery can be used better. It is beneficial to reduce the performance difference of the power batteries in the swap station, and balance the performance of the power batteries in the swap station. The more balanced the performance of the power batteries in the swap station, the more favorable it is for users to use power batteries with better performance, improve the user experience, increase the user's return rate, and thus improve the operating efficiency of the battery.

The above description is only an overview of the technical solutions of the present invention, in order to be able to understand the technical means of the present invention more clearly, it can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand , the following specific embodiments of the present invention are given.

Description of drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the accompanying drawings used in the description of the embodiments.

FIG. 1 is a schematic structural diagram of a power exchange station in the prior art;

2 is a schematic flowchart of a method for matching a vehicle and a battery according to an embodiment of the present invention;

FIG. 3 is one of the block diagrams of the apparatus for matching a vehicle and a battery provided by an embodiment of the present invention;

FIG. 4 is the second block diagram of the apparatus for matching a vehicle and a battery according to an embodiment of the present invention.

Detailed ways

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may also be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present invention will be more thoroughly understood, and will fully convey the scope of the present invention to those skilled in the art.

FIG. 2 is a schematic flowchart of a method for matching a vehicle and a battery according to an embodiment of the present invention. The method for matching a vehicle and a battery can be applied to a server or other electronic equipment (such as terminal equipment in a power exchange station), etc. .

As shown in Figure 2, the method for matching the vehicle and the battery may include:

Step 201 : Obtain a prediction result of the future usage behavior of the vehicle to be replaced after the current battery replacement to the next battery replacement.

The vehicle to be replaced in this step is an electric vehicle powered by a power battery, and its types may include but are not limited to: pure electric vehicle, electromechanical hybrid vehicle, fuel cell vehicle, and the like.

The future usage behaviors described in this step include behaviors that can affect the performance of the power battery.

Step 202 : According to the prediction result, among the matching batteries in the target swapping station, determine the target matching battery to be replaced on the vehicle to be swapped.

The matching battery described here is a power battery matching the vehicle to be swapped. At present, many models already support the flexible assembly of batteries of different types and specifications, but not all types and specifications of batteries. Therefore, it is necessary to determine the power battery that matches the vehicle to be replaced, which can be determined according to the product model of the vehicle to be replaced. information to be determined.

After obtaining the prediction result of the future use behavior of the vehicle to be swapped through step 101, this step determines the target matching of the current swap to the vehicle to be swapped in the matching battery in the target swap station according to the prediction result. Battery.

In the embodiment of the present invention, before the vehicle is replaced, the power battery to be replaced on the vehicle is determined in the target battery swap station according to the prediction result of the future use behavior of the vehicle. Different use behaviors of vehicles have different effects on the performance of power batteries. For example, good use behaviors can prolong the service life of power batteries and improve the performance of power batteries; bad use behaviors can shorten the service life of power batteries and reduce power. The performance of the battery, it can be seen that the future use behavior of the vehicle will affect the performance of the power battery. Therefore, according to the future use behavior of the vehicle, you can choose to replace the power battery with a vehicle that is conducive to optimizing its performance, so that the power battery can be obtained. Better use, which is conducive to reducing the performance difference of the power batteries in the swap station and balancing the performance of the power batteries in the swap station. The more balanced the performance of the power batteries in the power station, the more conducive to balancing the operating stress of the battery, and to the user to use the power battery with better performance, improve the user experience, increase the user's return rate, and then improve the battery operation. efficiency.

Optionally, when the technical solution provided by the embodiment of the present invention is applied to the server, after determining the target matching battery, the server may send the vehicle power matching information to the power exchange station, so that the power exchange equipment in the power exchange station (such as power exchange Robots) or staff can replace the target-matched battery on the vehicle to be swapped. The vehicle power matching information may include: vehicle information to be replaced (such as license plate number, vehicle color, vehicle model, etc.) and target matching battery information (such as battery number information), so that the power exchange equipment at the power exchange station knows whether it is Which battery to replace on which vehicle to be swapped.

Optionally, step 102: According to the prediction result, among the matching batteries in the target battery swap station, determine the target matching battery to be replaced on the vehicle to be swapped, which may include:

According to the prediction result, the variation of the target parameters of each matching battery in the target battery swap station is evaluated; according to the variation of the target parameters, among the matching batteries in the target battery swap station, the target matching battery to be replaced on the vehicle to be swapped is determined. .

The variation of the target parameter described here is: if the matching battery is replaced on the vehicle to be replaced this time, the target parameter of the matching battery when the vehicle to be replaced is replaced next time is compared with the current time when the battery is replaced. amount of change.

Since the use behavior of the vehicle to be swapped will affect some performance parameters (ie, target parameters) of the power battery, for each power battery in the target swap station that matches the vehicle to be swapped, it can be determined based on the vehicle to be swapped. If the future usage behavior of the vehicle to be replaced is evaluated this time, the impact of the future usage behavior of the vehicle to be replaced on its target parameters may cause changes in the target parameters. Then, according to the evaluation result (that is, the obtained variation of the target parameter), in the matching battery in the target battery swap station, determine the target matching battery to be replaced on the vehicle to be battery swapped this time. Since the performance parameters are directly related to the performance of the power battery, evaluating the future use behavior of the vehicle to be replaced may result in changes in the target parameters of the power battery, which can better determine the impact of the future use behavior of the vehicle to be replaced on the power The performance of the battery is affected, so that the appropriate power battery is selected to be replaced on the vehicle to be replaced.

Optionally, the aforementioned target parameter may include at least one of: a detectable degree of battery hidden danger, a degree of battery health decay, and a rate of battery health decay. With respect to the three parameters described here, further explanations will be given on how to evaluate the change amount of the target parameter according to the prediction result of the future usage behavior of the vehicle to be swapped.

For the detectable degree of battery hidden danger: the second cumulative operating condition type of each matched battery in the second state can be predicted according to the future use behavior of the vehicle to be replaced; then, according to the second cumulative operating condition type of each matched battery, Evaluate to obtain the detectable degree of the hidden danger of the second battery in the second state of each matching battery; finally, the difference obtained by subtracting the detectable degree of the hidden danger of the second battery from the detectable degree of the hidden danger of the second battery is taken as the The amount of change in the detectable extent of the battery hazard in the second state compared to the first state.

The first state described here is the current state of the matching battery, and the second state described here is the state of the matching battery when the matching battery is to be replaced next time if the matching battery is swapped to the vehicle to be swapped this time. .

The different usage behavior of the vehicle corresponds to the different usage conditions of the power battery. Under different operating conditions of the power battery, different faults of the power battery can be detected. For example, in the case of DC fast charging, three faults a, b, and c can be detected, and in the case of AC slow charging, three faults x, y, and z can be detected. The more the vehicle is used, the higher the detection degree of the battery hidden danger of the power battery. Assuming that a power battery is always charged by AC slow charging, the three faults a, b, and c cannot be detected. If the future use behavior of the vehicle to be replaced includes charging by DC fast charging, the power battery Being installed on the vehicle to be replaced may improve the detectability of the hidden danger of the power battery. It can be seen that the future use behavior of the vehicle may have an impact on the detectability of the hidden dangers of the power battery.

For the battery health decay degree and the battery health decay rate: according to the prediction result, the first cumulative usage of each matching battery from the first state to the second state can be obtained; then according to the first cumulative usage and each matching battery The second cumulative usage of the battery in the first state is to determine the third cumulative usage of each matching battery from the factory to the second state; and then according to the third cumulative usage, the The second health degree in the state; finally, according to the first health degree of the matching battery in the first state and the second health degree in the second state, it can be calculated that each matching battery in the second state is compared to The change amount of the battery health decay degree and the change amount of the battery health decay rate in the first state. The first cumulative usage of the matching battery in the first state is the cumulative usage of the matching battery from the factory to the current.

For example, the first health degree is represented as SOH_t0, and the first health degree decay rate is represented as SOH_rate_t0, then SOH_rate_t0=(100%-SOH_t0)/l0. Among them, l0 is the calendar duration (that is, the total number of days) of the matching battery from the factory to the current time. The second health degree is represented as SOH_t1, and the decay rate of the second health degree is represented as SOH_rate_t1, then SOH_rate_t1=(100%-SOH_t1)/l1, where l1 is the calendar of the matching battery from the factory to the next time the vehicle to be replaced is replaced Duration (that is, the total number of days). Then the variation of the battery health attenuation degree of the matching battery in the second state compared with the first state is: SOH_t1-SOH_t0, the battery health attenuation rate of the matching battery in the second state compared with the first state The amount of change is: SOH_rate_t1-SOH_rate_t0.

For the State of Health (SOH) of the power battery, the general power battery has a health of 100% when it leaves the factory, and its health will gradually decay with subsequent use. The decay degree and decay rate of the health degree affect the service time of the power battery. Having a good habit of using the power battery can delay the decay of health, reduce the decay rate of health, and prolong the service time of the battery; otherwise, it will accelerate the decay of health, increase the decay rate of health, and advance End battery life. It can be seen that the future use behavior of the vehicle may also have an impact on the degree of health decay and the rate of health decay of the power battery.

Optionally, the aforementioned step: according to the change of the target parameter, in the matching battery in the target battery swap station, determining the target matching battery to be replaced on the vehicle to be swapped may include: according to the change of the target parameter, changing the target battery. Each matching battery in the power station is sorted; according to the sorting order of the matching battery, the target matching battery is determined.

Sorting the matching batteries according to the variation of the target parameters can improve the ordering of the matching battery information, so as to better select the required target matching batteries from the matching batteries.

Among them, the variation of the target parameter has positive and negative points. Different parameters have different positive and negative meanings of the variation.

For example, for the detectability of battery hidden dangers, a positive change indicates that the detectability is improved and the performance is better; a negative change indicates that the detectability decreases and the performance deteriorates. In the case that the target parameter only includes the detectable degree of the hidden danger of the battery, it can be sorted according to the change of the detectable degree of the hidden danger from large to small. For the matching battery ranked first, it means that after the matching battery is replaced to the vehicle to be replaced, the change in the detectable degree of hidden dangers is the largest, which can enrich the diversity of operating conditions of the battery and improve the pre-identification rate of battery hidden dangers. , so the matching battery can be determined as the target matching battery, so as to adjust the hidden danger detectable degree of the matching battery to the maximum extent, so as to better identify the battery failure. Of course, it can be understood that matching batteries in other positions can also be selected as target matching batteries, and the specific situation can be selected according to actual needs.

For another example, for the battery health decay rate, a positive change indicates that the battery health decay rate increases and the performance deteriorates; a negative change indicates that the battery health decay rate decreases and the performance is better. In the case that the target parameter only includes the battery health decay rate, it can be sorted in descending order of the change amount of the health decay rate. For the matching battery in the first place, it means that after the matching battery is replaced to the vehicle to be replaced, the change in the decay rate of its health is the smallest, so the matching battery can be determined as the target matching battery to minimize the reduction Small match the battery's health decay rate, so as to better delay the battery decay, prolong the battery life, and improve the use efficiency of the battery life cycle. Of course, it can be understood that matching batteries in other positions can also be selected as target matching batteries, and the specific situation can be selected according to actual needs.

When the target parameter includes at least two performance parameters among the detectable degree of battery hidden danger, the decay degree of battery health, and the decay rate of battery health, when sorting, a weight value can be assigned to each performance parameter, and then a weight value can be assigned to each performance parameter. The value obtained by multiplying the variation of each performance parameter by the corresponding weight value is summed, and sorted according to the value obtained by the summation. Of course, it can be understood that other manners may also be used for sorting, which is not limited in this embodiment of the present invention.

Optionally, step 102: According to the prediction result, among the matching batteries in the target battery swap station, determine the target matching battery to be replaced on the vehicle to be swapped, which may include:

Obtain the target battery swap station for the next battery swap of the vehicle to be swapped in the prediction result; determine the demand intensity of the target battery swap station for each battery model of the matching battery, and determine the matching battery corresponding to the target battery model with the highest demand intensity as Change to the target matching battery on the vehicle to be swapped.

Where does the vehicle often go to change power, and whether there is a power battery required by the vehicle in the power exchange station, it will affect the battery operation efficiency of the power exchange station (which can also be understood as the battery operation benefit). Therefore, the future use behavior of the vehicle may also affect the power battery. operational efficiency. In the embodiment of the present invention, according to the demand intensity of the battery model of the battery type of the battery swap station for the next battery swap of the vehicle to be battery swapped, the matching battery corresponding to the target battery model with the highest demand intensity is selected and determined to be replaced on the vehicle to be battery swapped. Target matching battery, so that the vehicle to be swapped can bring the target matching battery to the target swap station in the next battery swap, so as to ensure the usage demand of users, improve the rental rate of the battery, and then improve the operation efficiency of the swap station.

Optionally, in the embodiment of the present application, based on the historical usage behavior of the vehicle to be swapped, the future usage behavior of the vehicle to be swapped after the current battery swap to the next battery swap can be predicted.

The prediction result of the future usage behavior of the vehicle to be swapped after the current swap to the next time can be predicted every time the vehicle to be swapped needs to be swapped, that is, every time the vehicle to be swapped needs to be swapped Each time, a prediction of the future usage behavior of the vehicle to be swapped is required.

In addition, the similarity between the historical usage behavior of the vehicle to be replaced after the last battery replacement to the current battery replacement is greater than or equal to the preset value. Next, the prediction result used in the last power exchange can be used as the prediction result required for this power exchange. The future usage behavior of the vehicle to be swapped can often be predicted based on the historical usage behavior of the vehicle to be swapped. Under the condition that the historical usage behavior does not change much, the prediction results of the future usage behavior will be similar. and when the historical usage behaviors after the last power exchange to before the last power exchange are similar, the prediction result used in the last power exchange can be used as the prediction result required for this power exchange to reduce the Necessary predictive processing. The preset value described here is at least greater than 50% and less than 100%, and the specific value can be selected according to the requirement for the prediction accuracy of future usage behavior. For example, if you want to improve the prediction accuracy of future usage behavior, you can choose a larger value, such as 90%. If the requirement for the prediction accuracy of future usage behavior is not high, a smaller value, such as 70%, can be selected.

Optionally, in the case where a future usage behavior needs to be predicted every time the vehicle to be replaced is replaced, in step 201: obtain the future usage behavior of the vehicle to be replaced from the current battery replacement to the next battery replacement. Before predicting the result, the matching method of the vehicle and the battery may also include:

According to the historical usage behavior data and current location information of the vehicle to be swapped, the future usage behavior of the vehicle to be swapped from the current swap to the next swap is predicted, and the prediction result is obtained.

During the use of the vehicle, the usage behavior data can be reported to the server, so the server stores the historical usage behavior data of the vehicle to be swapped. In addition, the server can also obtain the current location information of the vehicle to be swapped.

Generally, by analyzing the historical usage behavior of the vehicle, the usage behavior rule of the vehicle can often be obtained, so that the future usage behavior of the vehicle can be predicted according to the usage behavior rule of the vehicle. The current position of the vehicle can also predict some future usage behaviors of the vehicle. For example, if the vehicle is currently driving on the highway, it can be predicted based on the cruising range of the power battery on the vehicle and the distribution of swap stations along the way. Which power exchange station is used for power exchange. The historical usage behavior data of the vehicle to be swapped reflects the usage behavior rule of the vehicle, and the prediction of future behavior can make the prediction result more accurate. The current position of the vehicle to be replaced can reflect the possible behavior of the vehicle to be replaced in a short period of time, so the accuracy of the prediction result can be further improved.

Optionally, in this embodiment of the present invention, the predicted future usage behavior may include: the time and place of the next battery swap of the vehicle to be swapped, the power battery of the vehicle to be swapped after the current battery swap and before the next battery swap. The accumulative cruising range and accumulative power throughput required for the use, as well as the charging behavior, driving behavior, and parking behavior of the vehicle to be replaced after the current power exchange to the next power exchange.

After predicting the time and place of the next power exchange of the vehicle to be replaced, the power exchange demand of each power exchange station can be obtained, so as to schedule batteries based on the power exchange demand of each power exchange station to meet the needs of using batteries on demand, thereby improving the The operating efficiency of the battery. Predict the cumulative cruising range and cumulative throughput required for the use of the power battery after this power exchange and before the next power exchange, as well as the charging behavior and driving behavior after this power exchange and before the next power exchange , After the parking behavior, you can evaluate the changes of parameters such as the detectable degree of battery hidden dangers, the attenuation degree of battery health, and the decay rate of battery health based on these usage behaviors, so as to make battery scheduling based on the changes of these parameters. , reduce the difference in target parameters of the power batteries in the swap station, and balance the performance of the power batteries in the swap station.

In order to better understand how to predict the future usage behavior of the vehicle to be swapped from the current battery swap to the next battery swap based on the historical usage behavior data and current location information of the vehicle to be swapped, further explanations are given below.

In the case where the vehicle to be swapped is not on the expressway, or is not in the service station of the expressway, it is assumed that the time of the battery swap is May 1, 2020. According to the historical usage behavior data of the vehicle to be swapped, If the battery replacement frequency of the vehicle to be replaced is five days, that is, the battery is replaced every five days, it can be predicted that the next battery replacement time will be May 7, 2020. In addition, according to the historical usage behavior data of the vehicles to be swapped, the swap stations that the vehicles to be swapped have been to are sorted according to the frequency, and the swap station with the highest frequency can be predicted as the location of the next battery swap.

After predicting the time of the next battery replacement, it can be predicted, based on the historical usage behavior data of the vehicle to be replaced, that the vehicle to be replaced will use the power battery from the current battery replacement to the next battery replacement. Accumulated cruising range and accumulated power throughput. Assuming that, according to the historical usage behavior data of the vehicle to be swapped, the accumulated daily distance of the vehicle to be swapped is 50 kilometers, then the cumulative travel distance within the total number of days from the current battery swap time to the next battery swap time can be predicted. , such as: within 7 days from May 1, 2020 to May 7, 2020, the cumulative driving distance is: 50*7=350 kilometers, so it can be predicted that the cumulative cruising range of the power battery required in these 7 days is 350 kilometers. kilometer. Of course, the predicted cumulative cruising range of the power battery can also be slightly larger than 350 kilometers, such as 370 kilometers, to leave a margin. After the cumulative cruising range of the power battery is predicted, the cumulative throughput of the power battery under such cumulative cruising range can be predicted accordingly.

According to the historical usage behavior data of the vehicle to be replaced, it is also possible to predict the charging behavior, driving behavior, and parking behavior of the vehicle to be replaced between the current battery replacement and the next battery replacement. For example, according to the historical charging behavior of the vehicle to be replaced, predict the charging behavior after the current battery replacement until the next battery replacement, such as the total number of charging times, the number of charging times using the DC fast charging method, and the number of charging times using the AC slow charging method. Wait. For another example, according to the historical driving behavior of the vehicle to be swapped, the driving behavior after the current battery swap to before the next battery swap is predicted, such as what speed to drive at, whether to drive smoothly or bumpy. For another example, according to the historical parking behavior of the vehicle to be swapped, the parking behavior after the current battery swap to before the next battery swap is predicted, such as how long each parking time is, how long the total parking time is, etc.

In the case where the vehicle to be swapped is on the expressway or in the service station of the expressway, it is assumed that the vehicle to be swapped is currently in the service area A and will be swapped at the service station a in the service area A. The driving direction and destination of the vehicle to be swapped, and the possible swap stations to be routed are determined in order from far to near: the b swap station in the B service area and the c swap station in the C service area, and the current swap station of the vehicle to be swapped. The location is 250 kilometers away from the b swap station and 300 kilometers away from the c swap station. Among them, the driving direction and destination of the vehicle to be swapped can be obtained through a vehicle navigation system or a mobile phone navigation system.

According to the product model of the vehicle to be replaced, the power battery matching the vehicle to be replaced can be determined. According to the historical power exchange data of the vehicle to be replaced (such as the model and specification of the power battery that has been used the most), the power battery to be replaced can be predicted. The model and specifications of the power battery for the electric vehicle to be replaced this time. In addition, due to the particularity of the current position of the vehicle to be replaced, it is more likely to directly replace the power battery after the power battery to be replaced this time runs out of power. For the use of the power battery, the required cumulative cruising range and the cumulative power throughput. Since it is more likely to directly replace the power battery, it can be predicted that there may be no charging behavior after this power exchange until the next power exchange. According to the historical driving behavior and historical parking behavior of the vehicle to be replaced on the expressway, the driving behavior (such as driving speed, etc.) and parking behavior (such as each parking time) can be predicted from the current battery replacement to the next battery replacement. How long is it, how long is the total parking time, etc.).

Suppose again that, based on the predicted cruising range after this battery swap, it is estimated that the cruising range supports the driving distance of the vehicle to be swapped to be 280 kilometers. Obviously, the cruising range can support the vehicle to be swapped to the b swap station, but not the battery. The vehicle to be swapped drives to the c-swap station, so that it can be predicted that the next power-swap location is the b-swap station. After predicting the power exchange location, the time required from the current position to the b-swap station can be predicted according to the historical driving speed of the vehicle to be replaced on the expressway. Suppose, the historical average of the vehicle to be replaced is determined according to the historical driving speed. If the road speed is 100 km/h, the next battery replacement time may be 2.5 hours later.

In general, predicting the future use behavior of the vehicle to be replaced is actually predicting the use of the power battery, so as to evaluate the impact of these use behaviors on the power battery.

It should be noted that the above description is only for illustration, not a specific limitation of the technical solutions provided by the embodiments of the present invention. How to predict the future use behavior of the vehicle to be swapped can also be implemented in other achievable manners.

Optionally, for step 202, when evaluating the variation of the target parameter of each matching battery in the target battery swap station according to the prediction result, an evaluation table may be preset, and the evaluation table includes various usages of the vehicle. Behavior information (such as charging behavior, driving behavior, and parking behavior, etc.), for the different degrees of each use behavior, the degree of influence on the target parameters is set, such as when the charging time is 1 hour, 3 hours, and 5 hours respectively. , the degree of influence on the target parameters. According to the evaluation table, the effect of each future use behavior of the vehicle to be battery swapped on the target parameters can be obtained. In addition, a weight value can also be assigned to different use behaviors of the vehicle, and finally the comprehensive influence result can be obtained according to the weight ratio of the influence degree of each use behavior on the target parameter, thereby obtaining the change amount of the target parameter.

It can be understood that the foregoing embodiment is only an implementation manner, and may also be implemented in other implementable manners, which are not limited in this embodiment of the present invention.

Optionally, the target swapping station described in the embodiment of the present invention may be a swapping station where the vehicle to be swapped is currently located, or a swapping station within a preset range of the current position of the vehicle to be swapped. When the target swapping station is a swapping station within a preset range of the current position of the vehicle to be swapped, the target swapping station includes at least one swapping station.

That is to say, when the vehicle to be swapped arrives at the swapping station, matching between the vehicle and the battery can be performed for the matching battery in the swapping station where the vehicle to be swapped is located. When the vehicle to be swapped does not arrive at the swap station, the current position of the vehicle to be swapped can also be used to determine the swap station within the preset range of the current position of the vehicle to be swapped, and then target the swap stations within the preset range. The matching battery is used for matching between the vehicle and the battery.

Optionally, in the case that the target battery swap station is a battery swap station within the preset range of the current position of the vehicle to be battery swapped, after determining the target matching battery to be replaced on the vehicle to be battery swapped, the method for matching the vehicle to the battery It also includes: sending recommendation information to the target terminal device.

Wherein, the recommended information described here may include: the name and geographic location of the swap station where the target matching battery is located. The target terminal devices described here may include, but are not limited to, vehicle electronic devices, mobile phones, tablet computers, notebook computers, handheld computers, wearable devices, netbooks, or personal digital assistants.

In the embodiment of the present invention, in the battery swap station within the preset range of the current position of the vehicle to be swapped, after determining that the target matches the battery, recommendation information can be sent to the target terminal device, such as sending recommendation information to the user's mobile phone or the battery to be swapped The on-board computer on the vehicle, etc., guides the user to go to the swap station where the target-matching battery is located for power exchange, so as to improve the probability of the user going to the swap station where the target-matching battery is located. In addition, by determining the target matching battery in a wider range, more swap stations can be taken into account, so that the performance of the batteries in the multiple swap stations can be balanced with each other.

Optionally, when the user wants to change the battery of the vehicle, he can start the battery-changing application program (hereinafter referred to as the battery-changing APP) in the target terminal device, and view the battery-changing stations around the current location in the battery-changing APP. When the user decides to change the battery of the vehicle, a battery replacement request can be triggered in the battery replacement APP, and the target terminal device sends the battery replacement request to the server, and the service matches the vehicle power according to the battery replacement request to determine the target matching battery.

The above is the description of the method for matching the vehicle and the battery provided by the embodiment of the present invention.

From the above description, it can be seen that in the embodiment of the present invention, before the vehicle is replaced, the power battery to be replaced on the vehicle is determined in the target battery swap station according to the prediction result of the vehicle's future use behavior. Different usage behaviors of vehicles have different effects on the performance of the power battery. Therefore, according to the future use behavior of the vehicle, you can choose to replace the power battery with a vehicle that is conducive to optimizing its performance, so that the power battery can be used better. It is beneficial to reduce the performance difference of the power batteries in the swap station, and balance the performance of the power batteries in the swap station. The more balanced the performance of the power battery in the swap station, the more favorable it is for the user to use the power battery with better performance, improve the user experience, increase the user's return rate, and then improve the operating efficiency of the battery.

The method for matching a vehicle and a battery provided by the embodiment of the present invention has been described in detail above, and the description of the device for matching a vehicle and a battery provided by the embodiment of the present invention is continued below.

3 is a schematic block diagram of a vehicle-battery matching device provided by an embodiment of the present invention. The vehicle-battery matching device can be applied to a server or other electronic equipment (such as terminal equipment in a power exchange station), etc. .

As shown in FIG. 3 , the vehicle-battery matching device 300 includes:

The obtaining module 301 is configured to obtain the prediction result of the future usage behavior of the vehicle to be replaced after the current battery replacement to the next battery replacement.

The determining module 302 is configured to, according to the prediction result obtained by the determining module 301, determine, among the matching batteries in the target swapping station, the target matching battery to be replaced on the vehicle to be swapped.

Optionally, as shown in FIG. 4 , the determining module 302 includes:

The evaluating unit 3021 is configured to evaluate, according to the prediction result, the variation of the target parameter of each matched battery in the target battery swapping station.

Wherein, the amount of change of the target parameter is: if the matching battery is replaced on the vehicle to be replaced this time, the target parameter of the matching battery is compared to the next time the vehicle to be replaced is replaced. The amount of change during this power exchange.

The determining unit 3022 is configured to, according to the variation of the target parameter, determine, among the matching batteries in the target battery swapping station, a target matching battery to be replaced on the vehicle to be battery swapped.

Optionally, the target parameter includes at least one of: a detectable degree of battery hidden danger, a degree of battery health decay, and a rate of battery health decay.

Optionally, the determining unit 3022 includes:

A sorting subunit 30221, configured to sort each of the matched batteries in the target battery swapping station according to the variation of the target parameter.

The determining subunit 30222 is configured to determine the target matching battery according to the sorting order of the matching battery by the sorting subunit 30221.

Optionally, as shown in FIG. 4 , the vehicle-battery matching device 300 further includes:

The prediction module 303 is configured to predict the future usage behavior of the vehicle to be swapped from the current battery swap to the next battery swap according to the historical usage behavior data and the current location information of the to-be-swapped vehicle, Obtain the predicted result.

Optionally, the future usage behavior includes: the time and place of the next power exchange, the accumulated cruising range and accumulated throughput power required for the use of the power battery after the current power exchange and before the next power exchange, and The charging behavior, driving behavior, and parking behavior after the current power exchange and before the next power exchange.

Optionally, the target swapping station is a swapping station where the vehicle to be swapped is currently located, or a swapping station within a preset range of the current position of the vehicle to be swapped.

Optionally, as shown in FIG. 4 , when the target swapping station is a swapping station within a preset range of the current position of the vehicle to be swapped, the vehicle-battery matching device 300 further includes:

The sending module 304 is configured to send the recommendation information to the target terminal device.

Wherein, the recommendation information includes: the name and geographic location of the swap station where the target matching battery is located.

In the embodiment of the present invention, before the vehicle is replaced, the power battery to be replaced on the vehicle is determined in the target battery swap station according to the prediction result of the future use behavior of the vehicle. Different usage behaviors of vehicles have different effects on the performance of the power battery. Therefore, you can choose to replace the power battery with a vehicle that is conducive to optimizing its performance according to the future use behavior of the vehicle, so that the power battery can be used better. It is beneficial to reduce the difference in performance of the power batteries in the swap station and balance the performance of the power batteries in the swap station. The more balanced the performance of the power battery in the swap station, the more favorable it is for the user to use the power battery with better performance, improve the user experience, increase the user's return rate, and then improve the operating efficiency of the battery.

As for the above-mentioned embodiment of the matching device for vehicle and battery, since it is basically similar to the embodiment of the matching method for vehicle and battery, it is sufficient to refer to some descriptions of the method embodiment for relevant parts. In order to avoid repetition, in the matching of vehicle and battery, In the embodiment of the apparatus, detailed descriptions are omitted.

According to an aspect of the embodiments of the present invention, the embodiments of the present invention further provide a vehicle-battery matching system, including: a memory and a processor, the memory stores a computer program, and the computer program is executed by the processor Each process in the above-mentioned embodiments of the vehicle-battery matching method can be realized at the same time, and the same technical effect can be achieved. In order to avoid repetition, details are not repeated here.

According to another aspect of the embodiments of the present invention, the embodiments of the present invention further provide a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, realizes the above-mentioned connection between the vehicle and the battery. The various processes in the embodiments of the matching method can achieve the same technical effect, and are not repeated here in order to avoid repetition. The computer-readable storage medium described herein can be any type of component, module or device that can store programs or instructions, and can include, but is not limited to, for example, read only memory (ROM), random access memory (RAM), erasable memory Write programmable read-only memory (EPROM), U disk, disk, etc.

From the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on this understanding, the above-mentioned technical solutions can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products can be stored in computer-readable storage media, such as ROM/RAM, magnetic A disc, an optical disc, etc., includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in various embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand: it can still be Modifications are made to the technical solutions described in the foregoing embodiments, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A vehicle and battery matching method is characterized by comprising the following steps:

obtaining a prediction result of future use behaviors of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement;

and according to the prediction result, determining a target matched battery to be replaced on the vehicle to be replaced in the matched batteries in the target battery replacing station.

2. The vehicle-battery matching method according to claim 1, wherein the determining, according to the prediction result, to replace the target matching battery on the vehicle to be replaced in the matching batteries in the target battery replacement station includes:

evaluating the variation of the target parameter of each matched battery in the target battery replacement station according to the prediction result; wherein, the variation of the target parameter is: if the matched battery is replaced to the vehicle to be replaced at this time, the target parameter of the matched battery is changed by a variable quantity when the vehicle to be replaced is replaced next time compared with the current time;

and determining a target matched battery to be replaced on the vehicle to be replaced in the matched batteries in the target battery replacing station according to the variable quantity of the target parameter.

3. The vehicle-to-battery matching method according to claim 2, wherein the target parameter includes: at least one of a detectable degree of battery potential risk, a degree of battery health decay, and a rate of battery health decay.

4. The vehicle-battery matching method according to claim 2, wherein the determining, according to the variation of the target parameter, to replace the target matched battery on the vehicle to be replaced in the matched batteries in the target battery replacement station includes:

sorting each matched battery in the target power changing station according to the variable quantity of the target parameter;

and determining the target matching battery according to the sorting sequence of the matching batteries.

5. The vehicle and battery matching method according to claim 1, wherein before the obtaining of the prediction result of the future use behavior of the vehicle to be charged after the current charge to the next charge, the vehicle and battery matching method further comprises:

and predicting the future use behavior of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement according to the historical use behavior data and the current position information of the vehicle to be subjected to battery replacement, and obtaining the prediction result.

6. The vehicle-to-battery matching method according to claim 1, wherein the future use behavior includes: the time and the place of the next power change, the accumulated driving mileage and the accumulated handling capacity required for the use of the power battery after the power change until the next power change, and the charging behavior, the driving behavior and the parking behavior after the power change until the next power change.

7. The vehicle and battery matching method according to claim 1, wherein the target battery replacement station is a battery replacement station where the vehicle to be replaced is currently located, or a battery replacement station within a preset range of a current position of the vehicle to be replaced.

8. A vehicle-to-battery matching device, characterized by comprising:

the acquisition module is used for acquiring a prediction result of future use behaviors of the vehicle to be subjected to battery replacement from the current battery replacement to the next battery replacement;

and the determining module is used for determining a target matched battery to be replaced on the vehicle to be replaced from matched batteries in the target battery replacing station according to the prediction result obtained by the determining module.

9. A vehicle and battery mating system, comprising: memory storing a computer program which, when executed by the processor, carries out the steps in the vehicle-to-battery matching method according to any one of claims 1 to 7, and a processor.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps in the method of matching a vehicle and a battery according to any one of claims 1 to 7.

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