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WO2013115244A1 - Dispositif et procédé de prévision d'un temps de charge, et programme - Google Patents

Dispositif et procédé de prévision d'un temps de charge, et programme Download PDF

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Publication number
WO2013115244A1
WO2013115244A1 PCT/JP2013/052032 JP2013052032W WO2013115244A1 WO 2013115244 A1 WO2013115244 A1 WO 2013115244A1 JP 2013052032 W JP2013052032 W JP 2013052032W WO 2013115244 A1 WO2013115244 A1 WO 2013115244A1
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WO
WIPO (PCT)
Prior art keywords
charging
information
holding unit
charger
charging time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2013/052032
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English (en)
Japanese (ja)
Inventor
雄一朗 福林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NEC Corp
Original Assignee
NEC Corp
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Filing date
Publication date
Application filed by NEC Corp filed Critical NEC Corp
Publication of WO2013115244A1 publication Critical patent/WO2013115244A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/12—Recording operating variables ; Monitoring of operating variables
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H01M10/486—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for measuring temperature
    • H02J7/82—
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2210/00—Converter types
    • B60L2210/30—AC to DC converters
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/60—Navigation input
    • B60L2240/66—Ambient conditions
    • B60L2240/662—Temperature
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2260/00—Operating Modes
    • B60L2260/40—Control modes
    • B60L2260/50—Control modes by future state prediction
    • B60L2260/58—Departure time prediction
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M2220/00—Batteries for particular applications
    • H01M2220/20—Batteries in motive systems, e.g. vehicle, ship, plane
    • H02J2105/37—
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/72—Electric energy management in electromobility
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles

Definitions

  • the present invention relates to a charging time prediction device, a charging time prediction method, and a program.
  • the current electric vehicle has a large capacity of the battery, and even if a quick charger is used, it takes about 20 to 30 minutes to charge, so the user leaves the vehicle while charging. In many cases, it returns in accordance with the charging end time expected by the charger. Therefore, if the expected end time is earlier than the actual time, the user will be further waited. Conversely, if the expected end time is later than the actual time, the user who is going to use the next time will be waited. Thus, for efficient operation of the quick charger, it is desired to accurately predict and provide the charging end time.
  • a reception unit that receives information including the type of battery mounted on the electric vehicle, the remaining charge amount, and the desired charge amount transmitted from the electric vehicle, and information received by the reception unit
  • a charging stand including a calculation device that calculates a charging waiting time until charging is completed based on the above and a transmission unit that transmits the charging waiting time calculated by the calculation device to an electric vehicle.
  • the charging waiting time is calculated based only on information obtained from the electric vehicle, it may be different from the actual charging time. For example, when the maximum output power of the charger is controlled by the time zone and the situation for the purpose of leveling the power usage, the charging time varies depending on the time zone. Also, if the electricity rate changes depending on the time zone and conditions, even if the amount of charge is specified by the amount, the amount of power that can be charged changes depending on the setting of the electricity rate at that time, so the time until the end of charging changes To do.
  • an object of the present invention is to provide a charging time prediction device capable of predicting the time required for charging in consideration of information and conditions other than information obtained from an electric vehicle.
  • the charging time prediction device represents a remaining battery level information holding unit that holds information on a remaining charge level that represents an amount of power remaining in a rechargeable battery of the vehicle, and represents an amount of power that can be charged in the rechargeable battery of the vehicle.
  • a battery capacity information holding unit that holds battery capacity information
  • a temperature information holding unit that holds temperature information of an environment in which charging is performed
  • a charger operation information holding unit that holds information on an operation policy of the charger
  • a charging model holding unit that holds a charging model that represents a relationship between a parameter relating to a rechargeable battery of the vehicle or the charger and a charging time, and at least one of the remaining charge, the battery capacity, and the temperature information is a parameter
  • a charging time calculation unit that predicts a charging time using the charging model, and the charging time calculation unit adjusts the charging model in consideration of the operation policy, and And performs prediction of electrodeposition time.
  • the method for predicting a charging time includes a step of obtaining information on a remaining charge amount representing an amount of power remaining in a rechargeable battery of a vehicle from a battery remaining amount information holding unit, and a battery capacity information holding unit, Charging from the battery capacity information representing the amount of power that can be charged to the rechargeable battery of the vehicle, the temperature information holding unit from the temperature information holding unit, and the charger operation information holding unit Obtaining information on the operation policy of the battery, obtaining a charge model representing a relationship between a parameter related to the rechargeable battery of the vehicle or the charger and the charge time from the charge model holding unit, the remaining charge, Predicting a charging time using the charging model using at least one of the battery capacity and the temperature information as a parameter, and in the step of predicting the charging time, the operation After adjusting the charging model in consideration of the Rishi, it performs a prediction of the charging time.
  • the program which concerns on this invention represents the electric energy which can charge the battery remaining charge information holding part which hold
  • the charging time calculation unit adjusts the charging model in consideration of the operation policy. From to, and performs a prediction of the charging time.
  • a charging time predicting apparatus capable of predicting the time required for charging in consideration of information and conditions other than information obtained from an electric vehicle.
  • FIG. 1 is a block diagram showing a configuration of a charging time prediction apparatus 10 according to Embodiment 1 of the present invention.
  • the charging time prediction apparatus 10 includes a battery remaining amount information holding unit 101, a battery capacity information holding unit 102, a temperature information holding unit 103, a charger operation information holding unit 104, a charging model holding unit 105, and a charging.
  • a time calculation unit 106 is provided.
  • the charging time prediction device 10 applies a dedicated or general-purpose computer including a CPU, a memory such as a ROM and a RAM, an external storage device for storing various information, an input interface, an output interface, a communication interface, and a bus connecting them. Can do.
  • the charging time prediction device 10 may be configured by a single computer or may be configured by a plurality of computers connected to each other via a communication line.
  • the battery remaining amount information holding unit 101, the battery capacity information holding unit 102, the temperature information holding unit 103, the charger operation information holding unit 104, the charging model holding unit 105, and the charging time calculation unit 106 are provided inside the vehicle or the charger. It may be mounted on a remote device connected to a charger or a vehicle via a network.
  • the charging time calculation unit 106 corresponds to a function module realized by the CPU executing a predetermined program stored in a ROM or the like.
  • the remaining battery information holding unit 101, the battery capacity information holding unit 102, the temperature information holding unit 103, the charger operation information holding unit 104, and the charging model holding unit 105 are implemented by a memory such as a ROM or a RAM, or an external storage device.
  • the battery remaining amount information holding unit 101 holds information representing the amount of power remaining in the rechargeable battery of the vehicle. This information is sent to the charging time calculation unit 106 and used to calculate the charging time. Specifically, it is information such as a charging rate indicating how much of the maximum charged amount of the rechargeable battery is charged. Further, the information held by the battery remaining amount information holding unit 101 may be the value of the charged electric power itself. In this case, the charging rate can be calculated using the information on the charging capacity transmitted from the battery capacity information holding unit 102.
  • the battery capacity information holding unit 102 holds information indicating the amount of power that can be charged in the rechargeable battery of the vehicle. This information is transmitted to the charging time calculation unit 106 and used for calculating the charging time. Specifically, it is information on the electric energy expressed in units of kWh.
  • the temperature information holding unit 103 holds temperature information of an environment where charging is performed. This information is transmitted to the charging time calculation unit 106 and used for calculating the charging time. Specifically, the temperature measured by the vehicle that performs charging and the temperature measured by the charger are used as information. Further, the temperature inside the rechargeable battery may be acquired from the rechargeable battery and used as temperature information. However, the charging model used for estimating the charging time differs between the case of using the environmental temperature and the case of using the temperature inside the rechargeable battery.
  • the temperature acquisition environment held by the temperature information holding unit 103 and the temperature acquisition environment assumed by the model held by the charging model holding unit 105 need to match. Note that the measurement method is not limited as long as the temperature information held by the temperature information holding unit 103 is temperature information of the environment to be charged. For example, what was acquired with the thermometer with which the charger was equipped may be acquired with the thermometer with which the vehicle was equipped. Moreover, what was acquired from the weather observation data of the position near a charger may be used.
  • the charger operation information holding unit 104 holds charger operation policy information such as charger operation settings and output power schedules. This information is transmitted to the charging time calculation unit 106, and the charging time calculation unit 106 applies the charging model supplied from the charging model holding unit 105 to the operation policy obtained to calculate the charging time.
  • the charging upper limit charging rate is a reference charging rate at which it is determined that charging is completed.
  • the charger ends charging when the charging rate of the rechargeable battery reaches the charging upper limit charging rate.
  • the charging upper limit charging rate is a value determined by an operator who operates the charger, for example, and a different value may be set for each charger. Therefore, for example, even if charging is started with the same remaining charge, the time required for charging becomes longer when the charging upper limit charging rate is larger.
  • the charging upper limit electric energy is a reference electric energy for determining that charging is completed.
  • the charger ends charging when the amount of power charged in the rechargeable battery reaches the upper limit of charge power.
  • a charge upper limit power amount is set.
  • the electricity rate can be calculated from the amount of electricity, so that the charging upper limit electricity rate can be specified as the operation policy.
  • FIG. 2 is an example of the output power schedule of the charger, and shows the maximum output power that can be output by the charger for each time zone.
  • the maximum output power is limited to 25 kWh from 13:00 to 17:00, and it can output up to 50 kWh in other time zones. Therefore, charging in the time zone from 13:00 to 17:00 takes longer to charge than in the case of charging the same amount of power in other time zones.
  • Such an output power schedule is a policy set when it is desired to limit the output power during the daytime when there is a great demand for power.
  • FIG. 3 is an example of the electricity rate table, and shows the electricity rate for each time zone.
  • an electric charge of 30 yen per kWh is charged from 13:00 to 17:00, and an electric charge of 15 yen is charged per kWh in other time zones. Therefore, if charging is performed during the time period from 13:00 to 17:00, the electricity charge is higher than when charging the same amount of power during other time periods.
  • Such an electricity rate table is a policy that is set when, for example, it is desired to suppress the amount of electricity used in the daytime when there is a great demand for electricity.
  • the charging model holding unit 105 holds a charging model that represents the relationship between battery parameters, charger operating parameters, and charging time.
  • FIG. 4 is a diagram illustrating an example of a charging model. The example of FIG. 4 represents the relationship between the charging rate (starting charging rate) of the rechargeable battery at the time of starting charging and the charging time until the charging upper limit charging rate is reached.
  • the charging upper limit charging rate is 100%, and when charging is started from the charging rate of 50%, it takes about 2600 seconds to reach the charging rate of 100%.
  • the charging time in this model varies depending on parameters such as battery capacity, temperature information during charging, and maximum output power of the charger. The larger the battery capacity, the longer the charging time. In general, the lower the temperature, the longer the charging time.
  • the charging model can be estimated using a technique such as linear regression or neural network.
  • the battery capacity, temperature, and maximum output power parameters are set to various values, and changes in charging time and charging rate when charging is actually performed are recorded.
  • a charging model can be obtained by executing learning using a neural network and estimating a learning coefficient.
  • the charging time calculation unit 106 includes the remaining battery level information acquired from the remaining battery level information holding unit 101, the battery capacity information acquired from the battery capacity information holding unit 102, the temperature information acquired from the temperature information holding unit 103, the charging Using the charger operation policy acquired from the charger operation information holding unit 104 as a parameter, the charging model acquired from the charging model holding unit 105 is adjusted according to the parameter, and the time required for charging is calculated using the adjusted charging model. .
  • the operation of the charging time calculation unit 106 will be described using a specific example.
  • a charging model adjustment method will be described by taking as an example a case where only the charging upper limit charging rate is set as the operation policy.
  • the charging time calculation unit 106 acquires a charging model that matches the acquired battery capacity and temperature information from the charging model holding unit 105.
  • a function representing a charging model as shown in FIG. 4 is represented by t (s).
  • s is a charging start charging rate
  • t is a charging time until the charging rate reaches 100%. That is, the time from the start of charging to reaching 100% when the charging rate is 50% can be expressed as t (0.5).
  • t (1.0) 0 from the definition.
  • the charging time calculation unit 106 can obtain a charging model adjusted according to an arbitrary charging upper limit charging rate by using the above equation (1).
  • FIG. 5 shows an example of a charging model when the upper limit charging rate is 80%.
  • FIG. 6 shows an example of a charging model that represents the relationship between the remaining power at the start of charging and the charging time when the battery capacity is 24.0 kWh and the charging upper limit power is 5 kWh.
  • the operation of the charging time calculation unit 106 when the output power schedule is set as the operation policy will be described.
  • the output power of the charger becomes 1 / n
  • the charging start time is 14:00
  • the maximum output is 25 kW, which is half of 50 kW, so the charging time is twice that of 50 kW. .
  • the maximum output power does not change during charging, and when it is lower than that, charging starts. After 600 seconds, the maximum output is halved and the charging time becomes longer.
  • the dotted line in the figure represents the charging time when the maximum output does not change during charging, and as shown in the figure, the charging time is shorter than when the maximum output power is halved after 600 seconds from the start. ing.
  • the charging time can be calculated in the same manner as when the charging upper limit electric energy is set.
  • FIG. 8 is a flowchart of the operation of the charging time calculation unit 106.
  • the charging time calculation unit 106 reads battery remaining amount information from the battery remaining amount information holding unit 101 (step S101).
  • the charging time calculation unit 106 reads battery capacity information from the battery capacity information holding unit 102 (step S102), and further reads temperature information from the temperature information holding unit 103 (step S103).
  • the charging time calculation unit 106 reads the charger operating policy from the charger operation information holding unit 104 (step S104), and acquires the charging model from the charging model holding unit 105 (step S105). afterwards.
  • the charging time calculation unit 106 adjusts the charging model according to the acquired operation policy (step S106).
  • the charging time calculation unit 106 calculates the charging time using the adjusted charging model and the acquired information (step S107).
  • the charging time is predicted using the charging model using the information on the remaining charge amount, the battery capacity, and the charging temperature as parameters.
  • the charging time is predicted after adjusting the charging model in consideration of the charging operation policy such as the charging upper limit charging rate, the charging upper limit power amount, the charger output power schedule, and the charge table.
  • the charging operation policy such as the charging upper limit charging rate, the charging upper limit power amount, the charger output power schedule, and the charge table.
  • a battery remaining amount information holding unit for holding information on the remaining amount of charge representing the amount of power remaining in the rechargeable battery of the vehicle;
  • a battery capacity information holding unit for holding battery capacity information indicating the amount of power that can be charged in the rechargeable battery of the vehicle;
  • a temperature information holding unit that holds temperature information of an environment in which charging is performed;
  • a charger operation information holding unit for holding charger operation policy information;
  • a charging model holding unit for holding a charging model representing a relationship between a parameter relating to the rechargeable battery of the vehicle or the charger and a charging time;
  • a charge time calculation unit that predicts a charge time using the charge model using at least one of the remaining charge, the battery capacity, and the temperature information as a parameter, and
  • the charging time calculation unit is configured to predict the charging time after adjusting the charging model in consideration of the operation policy.
  • the said charge model represents the relationship between the charging rate of the rechargeable battery at the time of charge start, the temperature of the environment where charging is performed, the output power of the charger, and the charging time. Charging time prediction device.
  • the said operation policy is a charging time prediction apparatus of Additional remark 1 or 2 which defines the upper limit charging rate in charge.
  • the said operation policy is a charging time prediction apparatus of Additional remark 1 or 2 which defines the upper limit electric energy in charge.
  • the said operation policy is a charging time prediction apparatus of Additional remark 1 or 2 which defines the output electric power schedule of a charger.
  • the said operation policy is a charge time prediction apparatus of Additional remark 1 or 2 which defines an electricity bill table.
  • the said temperature information is temperature information measured by the thermometer with which the said charger was equipped, The charging time prediction apparatus in any one of Additional remark 1 to 6 characterized by the above-mentioned.
  • thermometer provided inside the rechargeable battery.
  • the said temperature information is temperature information obtained from the weather data observed near the said charger, The charging time prediction apparatus in any one of Additional remark 1 to 6 characterized by the above-mentioned.
  • the process of acquiring the information of the charge remaining amount showing the electric energy remaining in the rechargeable battery of a vehicle from a battery remaining charge information holding part Obtaining battery capacity information representing the amount of power that can be charged to the rechargeable battery of the vehicle from the battery capacity information holding unit; Acquiring temperature information of the environment where charging is performed from the temperature information holding unit; A step of obtaining charger operation policy information from the charger operation information holding unit; From the charging model holding unit, obtaining a charging model representing a relationship between a charging time and a parameter related to the rechargeable battery of the vehicle or the charger; and Using at least one of the remaining charge, the battery capacity, and the temperature information as parameters, predicting a charging time using the charging model, The charging time prediction method, wherein in the step of predicting the charging time, the charging time is predicted after adjusting the charging model in consideration of the operation policy.
  • a battery remaining amount information holding unit for holding information on the remaining amount of charge representing the amount of power remaining in the rechargeable battery of the vehicle;
  • a battery capacity information holding unit for holding battery capacity information indicating the amount of power that can be charged in the rechargeable battery of the vehicle;
  • a temperature information holding unit that holds temperature information of an environment in which charging is performed;
  • a charger operation information holding unit for holding charger operation policy information;
  • a charging model holding unit for holding a charging model representing a relationship between a parameter relating to the rechargeable battery of the vehicle or the charger and a charging time; Using at least one of the remaining charge amount, the battery capacity, and the temperature information as parameters, and functioning as a charge time calculation unit that predicts a charge time using the charge model, The charging time calculation unit adjusts the charging model in consideration of the operation policy, and then predicts the charging time.
  • the present invention is suitable for predicting the time required for charging in consideration of information and conditions other than information obtained from an electric vehicle.

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  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • General Chemical & Material Sciences (AREA)
  • Electrochemistry (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Chemical & Material Sciences (AREA)
  • Sustainable Energy (AREA)
  • Mechanical Engineering (AREA)
  • Transportation (AREA)
  • Power Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Secondary Cells (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

La présente invention concerne une unité de mémorisation d'informations d'une énergie restante d'une pile permettant de mémoriser des informations d'une énergie de charge restante, les informations indiquant la quantité d'énergie restant dans une pile rechargeable d'un véhicule ; une unité de mémorisation d'informations de la capacité d'une pile permettant de mémoriser des informations sur la capacité d'une pile, les informations indiquant la quantité d'énergie avec laquelle la pile rechargeable de véhicule peut être chargée ; une unité de mémorisation d'informations de température permettant de mémoriser des informations de température sur l'environnement où doit avoir lieu la charge ; une unité de mémorisation d'informations de fonctionnement d'un chargeur permettant de mémoriser des informations sur la politique de fonctionnement d'un chargeur ; une unité de mémorisation de modèles de charge permettant de mémoriser un modèle de charge indiquant une relation entre un temps de charge et un paramètre de la pile rechargeable du véhicule ou du chargeur ; et un calculateur du temps de charge permettant de prévoir le temps de charge par l'utilisation du modèle de charge, le paramètre étant au moins la puissance de charge, la capacité de la pile ou les informations de température. Le calculateur de temps de charge prévoit le temps de charge après l'ajustement du modèle de charge par rapport à la politique de fonctionnement.
PCT/JP2013/052032 2012-02-01 2013-01-30 Dispositif et procédé de prévision d'un temps de charge, et programme Ceased WO2013115244A1 (fr)

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JP2012-019858 2012-02-01

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CN107240728A (zh) * 2017-07-24 2017-10-10 江西优特汽车技术有限公司 一种充电时间显示系统
WO2018215864A1 (fr) * 2017-05-22 2018-11-29 株式会社半導体エネルギー研究所 Système de commande de charge et dispositif de commande de charge
KR20190023801A (ko) * 2017-08-30 2019-03-08 현대자동차주식회사 차량 및 그 제어방법
CN110945738A (zh) * 2017-07-31 2020-03-31 日产自动车株式会社 充电时间运算方法和充电控制装置
JP2020120529A (ja) * 2019-01-25 2020-08-06 トヨタ自動車株式会社 車両の充電制御システム
CN113595164A (zh) * 2020-04-30 2021-11-02 华为技术有限公司 用于充电管控的方法和装置
CN115224751A (zh) * 2021-07-22 2022-10-21 青岛特来电新能源科技有限公司 电池充电剩余时长的获取方法、装置、电子设备及介质
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CN110945738A (zh) * 2017-07-31 2020-03-31 日产自动车株式会社 充电时间运算方法和充电控制装置
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JP2020120529A (ja) * 2019-01-25 2020-08-06 トヨタ自動車株式会社 車両の充電制御システム
US11906594B2 (en) 2019-05-24 2024-02-20 Semiconductor Energy Laboratory Co., Ltd. Method for estimating internal resistance of secondary battery and anomaly detection system of secondary battery
CN113595164A (zh) * 2020-04-30 2021-11-02 华为技术有限公司 用于充电管控的方法和装置
CN113595164B (zh) * 2020-04-30 2023-05-16 华为技术有限公司 用于充电管控的方法和装置
CN115224751A (zh) * 2021-07-22 2022-10-21 青岛特来电新能源科技有限公司 电池充电剩余时长的获取方法、装置、电子设备及介质
FR3130040A1 (fr) * 2021-12-03 2023-06-09 Psa Automobiles Sa Procede d’estimation du temps de charge d’une batterie electrique d’un vehicule
JP2025518952A (ja) * 2022-08-17 2025-06-19 エルジー エナジー ソリューション リミテッド 充電時間予測装置およびその動作方法

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