WO2022036831A1 - Procédé d'optimisation de stratégie de chauffage de batterie basé sur une batterie et la capacité de charge d'une pile de charge - Google Patents

Procédé d'optimisation de stratégie de chauffage de batterie basé sur une batterie et la capacité de charge d'une pile de charge Download PDF

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WO2022036831A1
WO2022036831A1 PCT/CN2020/121187 CN2020121187W WO2022036831A1 WO 2022036831 A1 WO2022036831 A1 WO 2022036831A1 CN 2020121187 W CN2020121187 W CN 2020121187W WO 2022036831 A1 WO2022036831 A1 WO 2022036831A1
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charging
battery
current
power battery
charging pile
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PCT/CN2020/121187
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English (en)
Chinese (zh)
Inventor
严国刚
张巍
李春
熊金峰
张建利
薛凯哲
朱恒
方兰兰
邱远红
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金龙联合汽车工业（苏州）有限公司
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Publication of WO2022036831A1 publication Critical patent/WO2022036831A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/389—Measuring internal impedance, internal conductance or related variables
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392—Determining battery ageing or deterioration, e.g. state of health
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • H01M8/04298—Processes for controlling fuel cells or fuel cell systems
    • H01M8/04313—Processes for controlling fuel cells or fuel cell systems characterised by the detection or assessment of variables; characterised by the detection or assessment of failure or abnormal function
    • H01M8/04537—Electric variables
    • H01M8/04574—Current
    • H01M8/04589—Current of fuel cell stacks
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • H01M8/04298—Processes for controlling fuel cells or fuel cell systems
    • H01M8/04313—Processes for controlling fuel cells or fuel cell systems characterised by the detection or assessment of variables; characterised by the detection or assessment of failure or abnormal function
    • H01M8/04537—Electric variables
    • H01M8/04604—Power, energy, capacity or load
    • H01M8/04619—Power, energy, capacity or load of fuel cell stacks
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • H01M8/04298—Processes for controlling fuel cells or fuel cell systems
    • H01M8/04313—Processes for controlling fuel cells or fuel cell systems characterised by the detection or assessment of variables; characterised by the detection or assessment of failure or abnormal function
    • H01M8/04664—Failure or abnormal function
    • H01M8/04679—Failure or abnormal function of fuel cell stacks
    • 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
    • Y02E60/30—Hydrogen technology
    • Y02E60/50—Fuel cells
    • 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
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

Definitions

  • the invention belongs to the field of electric vehicle power battery management, and in particular relates to a battery heating strategy optimization method based on the charging capability of a battery and a charging pile.
  • the battery Since the current required by the battery at different temperatures is different, when the battery temperature is lower, the battery can receive a lower current and the charging speed is correspondingly reduced. In order to achieve a better charging environment, the battery needs to heat itself to increase the demand capacity. For most heating strategies, an optimal temperature for the battery is generally set, ignoring the energy consumption of this process and the maximum capacity that the charging pile can provide. When the output current of the charging pile can completely follow the requested current of the battery, the battery is suitable for rapid heating to the maximum adaptive value to achieve the maximum charging speed. However, if the output capacity of the charging pile is very weak and cannot meet the demand value of the battery, the energy of heating the battery to a higher temperature at this time is wasted. Alternatively, if the battery does not pursue charging speed, it is also not necessary to heat the temperature to the maximum adaptive value. Hence the invention.
  • the purpose of the present invention is to provide a battery heating strategy optimization method based on the charging capacity of the battery and the charging pile, comparing the demanded current of the battery and the output current of the charging pile, and the lower value of the two corresponds to the DC current of the battery.
  • the temperature in the charging rate table is set as the target temperature for battery heating, which can reduce the energy consumption of the entire vehicle and optimize the configuration.
  • a battery heating strategy optimization method based on the charging capability of a battery and a charging pile comprising the following steps:
  • S03 Compare the output current I2 of the charging pile and the maximum allowable charging current I1 of the power battery. If I2 is greater than or equal to I1, query the DC charging rate table and use the minimum temperature corresponding to the maximum allowable charging current of the power battery as the battery heating target temperature;
  • step S01 it also includes:
  • step S01 is performed.
  • the battery management system when it is judged to be charging at night, the battery management system detects the minimum temperature T of the battery in the power battery system, and if T is less than the second threshold, it is judged to be charging at night in a cold area, and the following steps are performed:
  • S12 Obtain the SOC value, and check the DC charging rate table according to min ⁇ I1, I2 ⁇ to obtain the battery heating target temperature.
  • the method for calculating the charging demand duration h in the step S11 includes:
  • the invention also discloses a battery heating strategy optimization system based on the charging capability of the battery and the charging pile, comprising:
  • the output current acquisition module of the charging pile when the charging gun of the charging pile is connected to the power battery system, the output current I2 of the charging pile is obtained;
  • the maximum allowable charging current calculation module of the battery can obtain the temperature and SOC value of the power battery in real time, and query the DC charging rate table to obtain the maximum allowable charging current value I1 of the power battery;
  • the first processing operation module compares the output current I2 of the charging pile and the maximum allowable charging current I1 of the power battery. If I2 is greater than or equal to I1, query the DC charging rate table and use the minimum temperature corresponding to the maximum allowable charging current of the power battery as the battery heating. Target temperature; if I2 is less than I1, query the DC charging rate table and use the lowest temperature corresponding to I2 as the battery heating target temperature.
  • a first judging module is further included to obtain the vehicle network time, and if the charging time is greater than the first threshold, it is judged to be charging at night, otherwise, the first processing and computing module is executed.
  • a second processing and computing module is also included.
  • the battery management system detects the minimum temperature T of the battery in the power battery system. Perform the following steps:
  • S12 Obtain the SOC value, and check the DC charging rate table according to min ⁇ I1, I2 ⁇ to obtain the battery heating target temperature.
  • the method for calculating the charging demand duration h in the step S11 includes:
  • the method of the present invention is based on the output capacity of the charging pile and the charging capacity of the battery, compares the demanded current of the battery with the output current of the charging pile, and takes the lower value of the two corresponding to the temperature in the battery DC charging rate table, and sets the temperature as the heating value of the battery.
  • FIG. 1 is a flowchart of a method for optimizing a battery heating strategy based on the charging capability of a battery and a charging pile according to the present invention
  • FIG. 2 is a flow chart of an optimization method including charging at night in cold regions according to the present invention.
  • a battery heating strategy optimization system based on the charging capabilities of batteries and charging piles including:
  • the output current acquisition module of the charging pile when the charging gun of the charging pile is connected with the power battery system, the output current I2 of the charging pile is obtained; when the charging gun is connected with the power battery system, information exchange will be carried out, and the information of both parties can be obtained.
  • the maximum allowable charging current calculation module of the battery can obtain the temperature and SOC value of the power battery in real time, and query the DC charging rate table to obtain the maximum allowable charging current value I1 of the power battery; the temperature and SOC value of the power battery can be obtained through the battery management system BMS.
  • the first processing operation module compares the output current I2 of the charging pile and the maximum allowable charging current I1 of the power battery. If I2 is greater than or equal to I1, query the DC charging rate table and use the minimum temperature corresponding to the maximum allowable charging current of the power battery as the battery heating. Target temperature; if I2 is less than I1, query the DC charging rate table and use the lowest temperature corresponding to I2 as the battery heating target temperature.
  • the target temperature After the target temperature is obtained, it can be heated by the power battery system, and the power battery system can be the system disclosed in CN 110635183 A, which is not repeated in the present invention.
  • the first judging module obtains the network time of the vehicle, and if the charging time is greater than the first threshold, it is judged that it is charging at night, otherwise, the first processing and computing module is executed. For example, the time information of the GPRS module, the wireless communication module, etc. can be obtained to obtain the network time.
  • the second processing and computing module when it is judged to be charging at night, the battery management system detects the minimum temperature T of the battery in the power battery system, and if T is less than the second threshold, it is judged to be charging in the cold area at night, and the following steps are performed:
  • S12 Obtain the SOC value, and check the DC charging rate table according to min ⁇ I1, I2 ⁇ to obtain the battery heating target temperature.
  • a battery heating strategy optimization method based on the charging capacity of batteries and charging piles includes the following steps:
  • S03 Compare the output current I2 of the charging pile and the maximum allowable charging current I1 of the power battery. If I2 is greater than or equal to I1, query the DC charging rate table and use the minimum temperature corresponding to the maximum allowable charging current of the power battery as the battery heating target temperature;
  • the vehicle network time is obtained, and if the charging time is greater than the first threshold, it is determined to be charged at night, otherwise step S01 is performed; the first threshold may be 20:00 and so on.
  • the battery management system detects the minimum temperature T of the battery in the power battery system. If T is less than the second threshold, it is determined to be charged in a cold area at night, and the following steps are performed:
  • S12 Obtain the SOC value, and check the DC charging rate table according to min ⁇ I1, I2 ⁇ to obtain the battery heating target temperature.
  • the second threshold may be 0° and so on.
  • Step 1 When the battery is charging, first obtain the charging capacity of the charging pile, and the output current capacity I2 is less than or equal to 0.5C;
  • Step 2 When the battery temperature is -2°C and the SOC is 50, check the DC charging rate table, and get the allowable current value I1 that the battery can accept is 0C. At this time, the battery cannot be charged because the temperature does not meet the charging conditions and needs to be set. battery heating target temperature;
  • Step 3 Since the output capacity of the charging pile is only 0.5C, you only need to check the DC charging rate table and set the battery heating target temperature to the lowest temperature corresponding to the 0.5C capacity. In this case, you only need to set the battery heating temperature to 12 °C. Because even if the battery temperature is heated to higher than 12°C at this time, the charging pile has reached the maximum output power, and raising the target temperature at this time is only a waste of energy consumption.
  • Step 4 The whole charging process is a dynamic change process. If the output power of the charging pile also changes, follow I1 and I2, whichever is smaller, and then refer to the SOC to adjust the target temperature.
  • Step 1 When charging the battery, first obtain the charging capacity of the charging pile, and the output current capacity I2 is greater than 1C, indicating that the charging pile can fully meet the needs of the battery;
  • Step 2 Since the charging pile can meet the requirements of the battery, it is only necessary to set the target temperature of the battery to the required temperature at the maximum working capacity.
  • Step 1 When charging the battery, first obtain the charging capacity of the charging pile, and the output current capacity I2 is 0.2C;
  • Step 3 Since the required charging current value of the battery is 0.14C lower than the output capacity of the charging pile 0.2C, it is only necessary to check the table according to the standard of taking the smaller value of the two, that is, 0.14C. At this time, the target heating temperature of the battery needs to be set as 6 °C, the charging process is affected by the heat of the battery, the battery temperature will increase slightly, and the charging speed will increase slightly. The charging process at night also has a thermal insulation effect and reduces heating energy consumption.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Fuel Cell (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

L'invention concerne un procédé d'optimisation de stratégie de chauffage de batterie basé sur une batterie et la capacité de charge d'une pile de charge, comprenant les étapes suivantes : l'obtention d'un courant de sortie I2 d'une pile de charge lorsqu'un pistolet de charge de la pile de charge est connecté à un système de batterie d'alimentation ; l'obtention de la température et de la valeur d'état de charge (SOC) d'une batterie d'alimentation en temps réel, et l'interrogation d'une table de taux de charge en courant continu pour obtenir le courant de charge admissible maximal I1 de la batterie d'alimentation ; et la comparaison de I2 et I1, et si I2 est supérieur ou égal à I1, l'interrogation de la table de taux de charge en courant continu et l'utilisation de la température la plus basse correspondant au courant de charge maximal admissible de la batterie d'alimentation en tant que température de chauffage de batterie cible, ou si I2 est inférieur à I1, l'interrogation de la table de taux de charge en courant continu et l'utilisation de la température la plus basse correspondant à I2 en tant que température de chauffage de batterie cible, de telle sorte qu'une charge continue avec un faible courant peut être obtenue, et étant donné que la batterie génère de la chaleur pendant un processus de charge, les effets de réduction de la consommation d'énergie et de maintien au chaud peuvent être obtenus, ce qui permet d'optimiser la stratégie de chauffage de batterie pour atteindre l'objectif de réduction de la consommation d'énergie et d'économie de ressources. La présente solution est particulièrement appropriée pour des scénarios de charge de nuit dans des zones froides.
PCT/CN2020/121187 2020-08-18 2020-10-15 Procédé d'optimisation de stratégie de chauffage de batterie basé sur une batterie et la capacité de charge d'une pile de charge WO2022036831A1 (fr)

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CN202010828940.5A CN112083338B (zh) 2020-08-18 2020-08-18 一种燃料电池功率衰减实时监测预警方法及系统

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CN115051442A (zh) * 2022-06-30 2022-09-13 广州巨湾技研有限公司 根据温度控制电池快充充电电流的方法及系统
CN115339354A (zh) * 2022-05-11 2022-11-15 中国第一汽车股份有限公司 一种动力电池加热保温控制方法、装置、终端及存储介质
CN115561538A (zh) * 2022-08-03 2023-01-03 南京淼瀛科技有限公司 一种新能源大功率直流充电桩的检测方法
CN116587891A (zh) * 2023-03-03 2023-08-15 宇通客车股份有限公司 一种纯电动车续航能力提升方法及装置

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CN114024003A (zh) * 2021-10-28 2022-02-08 福达(深圳)新能源技术有限公司 燃料电池发动机允许功率偏离自动修正及故障处理方法

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CN114407728A (zh) * 2022-02-28 2022-04-29 重庆长安新能源汽车科技有限公司 一种车辆动力电池充电控制方法、系统、汽车及计算机可读存储介质
CN114407728B (zh) * 2022-02-28 2023-05-02 重庆长安新能源汽车科技有限公司 一种车辆动力电池充电控制方法、系统、汽车及计算机可读存储介质
CN115339354A (zh) * 2022-05-11 2022-11-15 中国第一汽车股份有限公司 一种动力电池加热保温控制方法、装置、终端及存储介质
CN115051442A (zh) * 2022-06-30 2022-09-13 广州巨湾技研有限公司 根据温度控制电池快充充电电流的方法及系统
CN115051442B (zh) * 2022-06-30 2024-01-30 广州巨湾技研有限公司 根据温度控制电池快充充电电流的方法及系统
CN115561538A (zh) * 2022-08-03 2023-01-03 南京淼瀛科技有限公司 一种新能源大功率直流充电桩的检测方法
CN115561538B (zh) * 2022-08-03 2024-01-12 南京淼瀛科技有限公司 一种新能源大功率直流充电桩的检测方法
CN116587891A (zh) * 2023-03-03 2023-08-15 宇通客车股份有限公司 一种纯电动车续航能力提升方法及装置

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