CN120056826A - Self-adaptive pre-collision control method and system for vehicle - Google Patents
Self-adaptive pre-collision control method and system for vehicle Download PDFInfo
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- CN120056826A CN120056826A CN202510456534.3A CN202510456534A CN120056826A CN 120056826 A CN120056826 A CN 120056826A CN 202510456534 A CN202510456534 A CN 202510456534A CN 120056826 A CN120056826 A CN 120056826A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/24—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles for particular purposes or particular vehicles
- B60N2/42—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles for particular purposes or particular vehicles the seat constructed to protect the occupant from the effect of abnormal g-forces, e.g. crash or safety seats
- B60N2/427—Seats or parts thereof displaced during a crash
- B60N2/42727—Seats or parts thereof displaced during a crash involving substantially rigid displacement
- B60N2/42736—Seats or parts thereof displaced during a crash involving substantially rigid displacement of the whole seat
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/002—Seats provided with an occupancy detection means mounted therein or thereon
- B60N2/0021—Seats provided with an occupancy detection means mounted therein or thereon characterised by the type of sensor or measurement
- B60N2/0024—Seats provided with an occupancy detection means mounted therein or thereon characterised by the type of sensor or measurement for identifying, categorising or investigation of the occupant or object on the seat
- B60N2/0029—Seats provided with an occupancy detection means mounted therein or thereon characterised by the type of sensor or measurement for identifying, categorising or investigation of the occupant or object on the seat for detecting the motion of the occupant
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/02—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
- B60N2/0224—Non-manual adjustments, e.g. with electrical operation
- B60N2/0244—Non-manual adjustments, e.g. with electrical operation with logic circuits
- B60N2/0276—Non-manual adjustments, e.g. with electrical operation with logic circuits reaction to emergency situations, e.g. crash
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/24—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles for particular purposes or particular vehicles
- B60N2/42—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles for particular purposes or particular vehicles the seat constructed to protect the occupant from the effect of abnormal g-forces, e.g. crash or safety seats
- B60N2/427—Seats or parts thereof displaced during a crash
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- Engineering & Computer Science (AREA)
- Aviation & Aerospace Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Seats For Vehicles (AREA)
Abstract
本申请公开了一种车辆的自适应预碰撞控制方法及系统，方法包括：当乘员开启零重力座椅模式或座椅靠背的角度调节到预设值时，识别乘员的实际身体特征；若接收到智驾系统传递的预碰撞信号，则依据实际身体特征确定各个座椅调整项目的最佳控制参数，最佳控制参数使得乘员在碰撞时损伤最小；基于各个最佳控制参数确定对应的座椅电机的驱动功率；依据各个座椅电机的驱动功率驱动对应的座椅电机，对座椅进行调整。本申请在接收到预碰撞信号时，根据乘员的实际身体特征自适应控制各个座椅调整项目达到最佳状态，使得乘员在碰撞时损伤最小，提高乘员的舒适性。
The present application discloses an adaptive pre-collision control method and system for a vehicle, the method comprising: when the occupant turns on the zero-gravity seat mode or the angle of the seat back is adjusted to a preset value, identifying the actual physical characteristics of the occupant; if a pre-collision signal transmitted by the intelligent driving system is received, determining the optimal control parameters of each seat adjustment item based on the actual physical characteristics, the optimal control parameters minimize the damage to the occupant in the event of a collision; determining the driving power of the corresponding seat motor based on each optimal control parameter; driving the corresponding seat motor according to the driving power of each seat motor to adjust the seat. When the present application receives a pre-collision signal, it adaptively controls each seat adjustment item to reach the optimal state according to the actual physical characteristics of the occupant, minimizes the damage to the occupant in the event of a collision, and improves the comfort of the occupant.
Description
Technical Field
The application relates to the technical field of automobiles, in particular to a self-adaptive pre-collision control method and system for a vehicle.
Background
At present, with the development of artificial intelligence technology, intelligent auxiliary technology is becoming more and more popular in the automotive field, but AEB (Autonomous Emergency Braking, automatic emergency braking) cannot completely avoid collision, and safety belts cannot effectively protect passengers in a lying posture in a zero gravity seat mode, and at this time, the collision can cause great injury to the passengers. Therefore, the zero gravity seat needs to be adjusted to effectively protect the occupant when the vehicle system is expected to collide.
However, in the conventional pre-crash control scheme, the seat adjustment scheme is single, adjustment differences caused by the differences of the body types of the passengers are not considered, one part of the passengers cannot be effectively protected, the other part of the passengers are excessively protected, and the comfort of the passengers is poor.
In addition, the existing pre-crash control scheme only considers the control movement of the internal mechanism of the seat, and does not consider the linkage protection of other passive safety components (such as a safety belt) during the adjustment of the seat, so that the safety protection effect is limited.
Disclosure of Invention
The application provides a self-adaptive pre-collision control method and a self-adaptive pre-collision control system for a vehicle, which are used for adaptively controlling each seat adjustment item to achieve the optimal state according to the actual physical characteristics of an occupant when a pre-collision signal is received, so that the occupant is minimally damaged during collision, and the comfort of the occupant is improved.
The application provides a self-adaptive pre-collision control method of a vehicle, which comprises the following steps:
Identifying an actual physical feature of the occupant when the occupant opens the zero-gravity seat mode or the angle of the seatback is adjusted to a preset value;
If a pre-collision signal transmitted by the intelligent driving system is received, determining optimal control parameters of each seat adjustment item according to actual physical characteristics, wherein the optimal control parameters enable the damage of passengers during collision to be minimum;
determining a driving power of the corresponding seat motor based on each optimal control parameter;
and driving the corresponding seat motor according to the driving power of each seat motor to adjust the seat.
Preferably, the adjustment of the seat is performed while the passive safety component is adjusted to the fitted state.
Preferably, the driving power of the corresponding seat motor is determined based on each optimal control parameter, specifically including:
If the front collision early warning signal is received, calculating the driving power of each seat motor according to the second pre-collision time and the preset proportion of the optimal control parameter of each seat adjustment item, and determining the adjustment parameter of the passive safety component according to the preset proportion;
wherein the preset ratio is less than 1.
Preferably, the driving power of the corresponding seat motor is determined based on each optimal control parameter, specifically including:
if the automatic emergency braking early warning signal is received, the driving power of each seat motor is calculated according to the first pre-collision time and the optimal control parameters of each seat adjustment project, and the optimal adjustment parameters of the passive safety component are calculated.
Preferably, the optimal control parameters of the individual seat adjustment items are determined as a function of the actual physical characteristics, comprising in particular:
Inquiring first optimal control parameters of each seat adjustment item corresponding to at least two simulated body characteristics similar to the actual body characteristics;
For each seat adjustment item, calculating a second optimal control parameter corresponding to the actual physical characteristic according to all the first optimal control parameters of the seat adjustment item as the optimal control parameter of the seat adjustment item corresponding to the actual physical characteristic.
Preferably, calculating the driving power of each seat motor according to the first pre-crash time and the optimal control parameter of each seat adjustment item includes:
identifying a current position of each seat adjustment item;
calculating the difference between the position corresponding to the optimal control parameter of each seat adjustment item and the corresponding current position;
the drive power required for the individual seat motor adjustment difference is determined as a function of the first pre-crash time.
The application also provides a self-adaptive pre-collision control system of the vehicle, which comprises an identification and estimation module, a parameter determination module, a power determination module and a control module;
the identifying and estimating module is used for identifying the actual physical characteristics of the passenger when the passenger starts the zero gravity seat mode or the angle of the seat back is adjusted to a preset value;
The parameter determining module is used for determining optimal control parameters of each seat adjustment project according to actual physical characteristics when receiving a pre-collision signal transmitted by the intelligent driving system, wherein the optimal control parameters enable the damage of passengers during collision to be minimum;
The power determining module is used for determining the driving power of the corresponding seat motor based on each optimal control parameter;
The control module is used for driving the corresponding seat motor according to the driving power of each seat motor to adjust the seat.
Preferably, the control module is further adapted to adjust the passive safety component to the fitted state while adjusting the seat.
Preferably, the power determining module comprises a first calculating module, wherein the first calculating module is used for calculating the driving power of each seat motor according to the second pre-collision time and the preset proportion of the optimal control parameter of each seat adjustment item when the pre-collision early warning signal is received, and determining the adjustment parameter of the passive safety component according to the preset proportion;
wherein the preset ratio is less than 1.
Preferably, the power determining module comprises a second calculating module, and the second calculating module is used for calculating the driving power of each seat motor according to the first pre-collision time and the optimal control parameter of each seat adjustment item and calculating the optimal adjustment parameter of the passive safety component when the automatic emergency braking early warning signal is received.
Preferably, the parameter determining module comprises a query module and a third calculating module;
The inquiring module is used for inquiring first optimal control parameters of each seat adjusting item corresponding to at least two simulation body characteristics similar to the actual body characteristics;
The third calculation module is used for calculating second optimal control parameters corresponding to the actual physical characteristics according to all first optimal control parameters of the seat adjustment items for each seat adjustment item, and the second optimal control parameters are used as the optimal control parameters of the seat adjustment items corresponding to the actual physical characteristics.
Preferably, the second calculating module comprises a position identifying module, a difference calculating module and a power calculating module;
The position identification module is used for identifying the current position of each seat adjustment item;
the difference value calculation module is used for calculating the difference value between the position corresponding to the optimal control parameter of each seat adjustment item and the corresponding current position;
the power calculation module is used for determining driving power required by adjusting the difference value of each seat motor according to the first pre-collision time.
Other features of the present application and its advantages will become apparent from the following detailed description of exemplary embodiments of the application, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a flow chart of an adaptive pre-crash control method for a vehicle provided by the present application;
fig. 2 is a block diagram of an adaptive pre-crash control system for a vehicle according to the present application.
Detailed Description
Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present application unless it is specifically stated otherwise.
The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the techniques, methods, and apparatus should be considered part of the specification.
In all examples shown and discussed herein, any specific values should be construed as merely illustrative, and not a limitation. Thus, other examples of exemplary embodiments may have different values.
The application provides a self-adaptive pre-collision control method and a self-adaptive pre-collision control system for a vehicle, which are used for adaptively controlling each seat adjustment item to achieve the optimal state according to the actual physical characteristics of an occupant when a pre-collision signal is received, so that the occupant is minimally damaged during collision, and the comfort of the occupant is improved. In addition, the application adjusts the state of the passive safety components such as the safety belt and the like while adjusting the seat, so that the passive safety components are matched with the state of the seat in real time, and effective protection is provided for passengers.
Pre-crash refers to the detection of a potential risk of collision before the collision occurs by automotive safety techniques and the corresponding measures taken to avoid or reduce the impact of the collision.
As one example, in an adaptive pre-crash control strategy for a vehicle, pre-crash signals of a smart drive system are received by a vehicle body system and seating and passive safety component adjustments are controlled.
It will be appreciated that other systems that can control seat and passive safety component adjustment can be employed to implement the adaptive pre-crash control strategy of the vehicle of the present application.
As shown in fig. 1, the adaptive pre-crash control method for a vehicle provided by the application includes:
s110, when the occupant starts the zero gravity seat mode or the angle of the seat back is adjusted to a preset value, the actual physical characteristics of the occupant are identified.
The actual physical characteristics include, for example, sex, height, weight, etc. Specifically, the passenger can be subjected to image acquisition through the camera in the cabin, and the sex of the passenger, the height and weight of the passenger are estimated through the processing module in the camera, so that the body type of the passenger is determined.
The most comfortable state of the occupants of different sizes in the event of a collision corresponds to a different seat state than a state of the passive safety member.
The zero gravity seat mode is an automobile seat design combining ergonomics and zero gravity technology, and the gravity center of a human body is placed on buttock fat by adjusting the angle and the supporting point of the seat, so that the pressure of other body parts is effectively lightened, and the design reduces the weight felt by a seat occupant, thereby achieving the effect of relaxation.
When the zero-gravity seat mode or the angle of the seat back is adjusted to a preset value, the occupant is at a greater risk of physical injury in the event of a collision. Therefore, it is necessary to adjust the seat to the normal position during the early warning time of the pre-crash to improve the protection of the occupant.
And S120, if a pre-collision signal transmitted by the intelligent driving system is received, determining optimal control parameters of each seat adjustment item according to the actual physical characteristics, wherein the optimal control parameters enable the damage of passengers during collision to be minimum.
As one example, the seat adjustment items include a front-rear high position, a back rest angle, a seat cushion length, a seat slide rail position, and the like of the seat.
As an embodiment, determining the optimal control parameters of each seat adjustment item according to the actual physical characteristics specifically includes:
s1201, inquiring first optimal control parameters of each seat adjustment item corresponding to at least two simulation physical characteristics similar to the actual physical characteristics.
Each simulated body characteristic corresponds to a first optimal control parameter of a set of seat adjustment items. Preferably, the simulated body characteristics take into account gender differences, i.e. the need for comfort differs between men and women of the same size.
As an embodiment, the first optimal control parameter is obtained by simulation. When the first optimal control parameters are obtained, firstly, a mixed III dummy model is manufactured according to gender and body type (namely body characteristics), then, simulation analysis of frontal collision is carried out on combinations formed by different values of each seat adjustment item, and the control parameters of each seat adjustment item which causes the damage to the mixed III dummy model of the body characteristics to be minimum are determined through orthogonal experiments and are used as the first optimal control parameters of each seat adjustment item corresponding to the body characteristics.
S1202, for each seat adjustment item, calculating a second optimal control parameter corresponding to the actual physical characteristic according to all the first optimal control parameters of the seat adjustment item, and taking the second optimal control parameter as the optimal control parameter of the seat adjustment item corresponding to the actual physical characteristic.
In step S1202, the actual physical characteristics (e.g., height, weight) are located in the area enclosed by at least two simulated physical characteristics (e.g., the actual height is a value between the maximum value and the minimum value of the plurality of simulated height data, and the actual weight is a value between the maximum value and the minimum value of the plurality of simulated weight data), so as to obtain the optimal control parameters of the respective seat adjustment items corresponding to the actual physical characteristics through interpolation or other algorithms.
And S130, determining the driving power of the corresponding seat motor based on each optimal control parameter.
And S140, driving the corresponding seat motor according to the driving power of each seat motor to adjust the seat.
Preferably, in S120, the optimal control parameters of each seat adjustment item are determined according to the actual physical characteristics, and the optimal state of the passive safety component is also determined according to the actual physical characteristics. And, in S130, the optimum adjustment parameters of the passive safety component are determined together with the driving power of each seat motor. In S140, the passive safety component is adjusted to the fitted state while the seat is adjusted.
Wherein, passive safety component includes safety belt, side air bag, cushion air bag, front air bag, curtain gasbag etc. through adjusting the safety belt to the adaptation position, with each gasbag regulation to the angle and the dynamics of adaptation for passenger's comfort reaches the best, provides abundant protection simultaneously for the passenger.
The pre-crash signals sent by the intelligent driving system comprise a front crash early warning (Forward Collision Warning, FCW) signal and an automatic emergency braking (Autonomous Emergency Braking, AEB) early warning signal, and the corresponding pre-crash time is respectively a second pre-crash time and a first pre-crash time. The front collision early warning is usually triggered first, and the automatic emergency braking is triggered later.
As an embodiment, in S130, determining the driving power of the corresponding seat motor based on each optimal control parameter specifically includes:
if the front collision early warning signal is received, the driving power of each seat motor is calculated according to the second pre-collision time and the preset proportion of the optimal control parameter of each seat adjustment item, and the adjustment parameter of the passive safety component is determined according to the preset proportion. Wherein the preset ratio is less than 1, for example 0.5.
When an occupant adjusts to a preset value using the zero gravity seat mode or the angle of the seat back, each seat motor does not necessarily have the ability to move to a position corresponding to the optimal control parameter upon AEB triggering. Therefore, if the front collision early warning signal is received, the vehicle body system controls the adjustment of the seat and the seat belt to the preset ratio (e.g. 1/2) of the optimal control parameters according to the optimal control parameters of the seat and the seat belt position and the second pre-collision time, so as to avoid discomfort of the passengers caused by too high adjustment speed of the seat and the seat belt.
As another embodiment, in S130, determining the driving power of the corresponding seat motor based on each of the optimal control parameters further includes:
if the automatic emergency braking early warning signal is received, the driving power of each seat motor is calculated according to the first pre-collision time and the optimal control parameters of each seat adjustment project, and the optimal adjustment parameters of the passive safety component are calculated.
Specifically, as one embodiment, calculating the driving power of each seat motor according to the first pre-crash time and the optimal control parameter of each seat adjustment item includes:
p1. the current position of each seat adjustment item (e.g. backrest angle) is identified.
And P2, calculating the difference value between the position corresponding to the optimal control parameter of each seat adjustment item and the corresponding current position.
And P3, determining the driving power required by the adjustment difference value of each seat motor according to the first pre-collision time.
Therefore, if the difference between the current position and the position corresponding to the optimal control parameter is smaller, the adjustment is relatively light in the first pre-collision time, so that the comfort of the passengers is ensured to the greatest extent.
Based on the above, the application also provides a self-adaptive pre-collision control system of the vehicle. As shown in fig. 2, the adaptive pre-crash control system includes an identification and estimation module 210, a parameter determination module 220, a power determination module 230, and a control module 240.
The identification and estimation module 210 is configured to identify an actual physical characteristic of the occupant when the occupant initiates a zero gravity seat mode or the angle of the seat back is adjusted to a preset value.
The parameter determining module 220 is configured to determine, when a pre-crash signal transmitted by the intelligent driving system is received, an optimal control parameter of each seat adjustment item according to the actual physical characteristics, where the optimal control parameter minimizes damage to the occupant during the crash.
The power determination module 230 is configured to determine a drive power of the corresponding seat motor based on each of the optimal control parameters.
The control module 240 is configured to drive the corresponding seat motor according to the driving power of each seat motor, and adjust the seat.
Preferably, the control module 240 is also used to adjust the passive safety component to the fitted state while adjusting the seat.
Preferably, the power determining module 230 includes a first calculating module 2301, where the first calculating module 2301 is configured to calculate the driving power of each seat motor according to the second pre-collision time and a preset ratio of the optimal control parameter of each seat adjustment item when the pre-collision pre-warning signal is received, and determine the adjustment parameter of the passive safety component according to the preset ratio. Wherein the preset ratio is less than 1.
Preferably, the power determining module 230 includes a second calculating module 2302, and the second calculating module 2302 is configured to calculate the driving power of each seat motor and calculate the optimal adjustment parameters of the passive safety component according to the first pre-crash time and the optimal control parameters of each seat adjustment item when the automatic emergency brake warning signal is received.
Preferably, the parameter determination module 220 includes a query module 2201 and a third calculation module 2202.
The query module 2201 is configured to query a first optimal control parameter of each seat adjustment item corresponding to at least two simulated physical characteristics that are similar to the actual physical characteristics.
The third calculation module 2202 is configured to calculate, for each seat adjustment item, a second optimal control parameter corresponding to the actual physical characteristic according to all the first optimal control parameters of the seat adjustment item, as the optimal control parameter of the seat adjustment item corresponding to the actual physical characteristic.
Preferably, the second computing module 2302 includes a location identification module, a difference computing module, and a power computing module.
The position identification module is used for identifying the current position of each seat adjustment item.
The difference calculation module is used for calculating the difference between the position corresponding to the optimal control parameter of each seat adjustment item and the corresponding current position.
The power calculation module is used for determining driving power required by adjusting the difference value of each seat motor according to the first pre-collision time.
While certain specific embodiments of the application have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the application. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the application. The scope of the application is defined by the appended claims.
Claims (10)
1. A method for adaptive pre-crash control of a vehicle, comprising:
Identifying an actual physical feature of the occupant when the occupant opens the zero-gravity seat mode or the angle of the seatback is adjusted to a preset value;
if a pre-collision signal transmitted by the intelligent driving system is received, determining optimal control parameters of each seat adjustment item according to the actual physical characteristics, wherein the optimal control parameters enable the damage of passengers during collision to be minimum;
determining a driving power of the corresponding seat motor based on each optimal control parameter;
and driving the corresponding seat motor according to the driving power of each seat motor to adjust the seat.
2. The adaptive pre-crash control method of a vehicle according to claim 1, wherein the adjustment of the seat is performed while the passive safety component is adjusted to the fitted state.
3. The adaptive pre-crash control method of a vehicle according to claim 2, wherein the driving power of the corresponding seat motor is determined based on each of the optimal control parameters, specifically comprising:
if the automatic emergency braking early warning signal is received, the driving power of each seat motor is calculated according to the first pre-collision time and the optimal control parameters of each seat adjustment project, and the optimal adjustment parameters of the passive safety component are calculated.
4. The method for adaptive pre-crash control of a vehicle according to claim 1, characterized in that determining optimal control parameters for each seat adjustment item depending on the actual physical characteristics, comprises in particular:
inquiring first optimal control parameters of each seat adjustment item corresponding to at least two simulated body features similar to the actual body features;
For each seat adjustment item, calculating a second optimal control parameter corresponding to the actual physical feature according to all the first optimal control parameters of the seat adjustment item as the optimal control parameter of the seat adjustment item corresponding to the actual physical feature.
5. The adaptive pre-crash control method of a vehicle according to claim 3, wherein calculating the driving power of each seat motor according to the first pre-crash time and the optimal control parameter of each seat adjustment item comprises:
identifying a current position of each seat adjustment item;
calculating the difference between the position corresponding to the optimal control parameter of each seat adjustment item and the corresponding current position;
And determining the driving power required by each seat motor for adjusting the difference value according to the first pre-collision time.
6. An adaptive pre-crash control system for a vehicle, comprising an identification and estimation module, a parameter determination module, a power determination module, and a control module;
the identifying and estimating module is used for identifying the actual physical characteristics of the passenger when the passenger starts the zero gravity seat mode or the angle of the seat backrest is adjusted to a preset value;
The parameter determining module is used for determining optimal control parameters of each seat adjustment project according to the actual physical characteristics when receiving a pre-collision signal transmitted by the intelligent driving system, and the optimal control parameters enable the damage of passengers to be minimum during collision;
the power determining module is used for determining the driving power of the corresponding seat motor based on each optimal control parameter;
the control module is used for driving the corresponding seat motor according to the driving power of each seat motor to adjust the seat.
7. The adaptive pre-crash control system for a vehicle of claim 6 wherein the control module is further configured to adjust the passive safety component to an engaged state while adjusting the seat.
8. The adaptive pre-crash control system of a vehicle according to claim 7, wherein the power determination module comprises a second calculation module for calculating a driving power of each seat motor and calculating an optimal adjustment parameter of the passive safety component according to the first pre-crash time and an optimal control parameter of each seat adjustment item when the automatic emergency brake warning signal is previously received.
9. The adaptive pre-crash control system for a vehicle of claim 6 wherein the parameter determination module comprises a query module and a third calculation module;
The inquiring module is used for inquiring first optimal control parameters of each seat adjusting item corresponding to at least two simulation body characteristics similar to the actual body characteristics;
the third calculation module is configured to calculate, for each seat adjustment item, a second optimal control parameter corresponding to the actual physical characteristic according to all the first optimal control parameters of the seat adjustment item, as an optimal control parameter of the seat adjustment item corresponding to the actual physical characteristic.
10. The adaptive pre-crash control system for a vehicle of claim 8 wherein the second calculation module comprises a position identification module, a difference calculation module, and a power calculation module;
The position identification module is used for identifying the current position of each seat adjustment item;
The difference value calculation module is used for calculating the difference value between the position corresponding to the optimal control parameter of each seat adjustment item and the corresponding current position;
The power calculation module is used for determining driving power required by each seat motor for adjusting the difference value according to the first pre-collision time.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202510456534.3A CN120056826A (en) | 2025-04-11 | 2025-04-11 | Self-adaptive pre-collision control method and system for vehicle |
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| CN202510456534.3A CN120056826A (en) | 2025-04-11 | 2025-04-11 | Self-adaptive pre-collision control method and system for vehicle |
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| CN202510456534.3A Pending CN120056826A (en) | 2025-04-11 | 2025-04-11 | Self-adaptive pre-collision control method and system for vehicle |
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- 2025-04-11 CN CN202510456534.3A patent/CN120056826A/en active Pending
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