WO2021089062A1 - 快换式电动汽车的电池包的全生命周期管理方法、系统、电池健康度的获取方法、系统、设备及可读存储介质 - Google Patents

快换式电动汽车的电池包的全生命周期管理方法、系统、电池健康度的获取方法、系统、设备及可读存储介质 Download PDF

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Publication number
WO2021089062A1
WO2021089062A1 PCT/CN2020/142035 CN2020142035W WO2021089062A1 WO 2021089062 A1 WO2021089062 A1 WO 2021089062A1 CN 2020142035 W CN2020142035 W CN 2020142035W WO 2021089062 A1 WO2021089062 A1 WO 2021089062A1
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Prior art keywords
soc
battery
charging
data
battery pack
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PCT/CN2020/142035
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English (en)
French (fr)
Inventor
张超
Original Assignee
奥动新能源汽车科技有限公司
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Priority claimed from CN201911068427.4A external-priority patent/CN112782601A/zh
Priority claimed from CN201911413797.7A external-priority patent/CN113119798B/zh
Application filed by 奥动新能源汽车科技有限公司 filed Critical 奥动新能源汽车科技有限公司
Priority to JP2022526194A priority Critical patent/JP2023500709A/ja
Priority to EP20885366.3A priority patent/EP4057019A4/en
Priority to US17/774,846 priority patent/US20220402396A1/en
Publication of WO2021089062A1 publication Critical patent/WO2021089062A1/zh

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    • 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
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/65—Monitoring or controlling charging stations involving identification of vehicles or their battery types
    • 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
    • B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
    • B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
    • 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
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/80—Exchanging energy storage elements, e.g. removable batteries
    • 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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • 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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
    • 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]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • 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
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • 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
    • H01M10/44—Methods for charging or discharging
    • H01M10/441—Methods for charging or discharging for several batteries or cells simultaneously or sequentially
    • 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
    • H01M10/482—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for several batteries or cells simultaneously or sequentially
    • 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
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4278—Systems for data transfer from batteries, e.g. transfer of battery parameters to a controller, data transferred between battery controller and main controller
    • 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

Definitions

  • the invention relates to the field of new energy vehicles, and in particular to a full life cycle management method, system, battery health acquisition method, system, equipment and readable storage medium of a battery pack of a quick-change electric vehicle.
  • the battery pack of quick-change electric vehicles provides power for the entire vehicle, allowing users to use electric vehicles as convenient as a fuel vehicle, like refueling. Convenient supplementary energy.
  • the management and control requirements for the life cycle of battery packs are getting higher and higher. How to make battery packs safe, reliable and traceable in real time is a problem that all new energy companies face and must be solved.
  • SOH battery health
  • SOH State of Health
  • SOH is used It characterizes the battery capacity, health, and performance status. Simply put, it is the ratio of the performance parameters to the nominal parameters after the battery has been used for a period of time.
  • the SOH value is calculated by discharging the battery from a full state at a certain rate to the cut-off voltage. The ratio of the capacity to the corresponding nominal capacity is obtained.
  • the current research on SOH is basically based on the above method in the laboratory. This solution method regards the charging process of the battery as constant.
  • the technical problem to be solved by the present invention is to overcome the lack of effective management and control of the battery pack life cycle of quick-change electric vehicles by new energy companies in the prior art, resulting in insufficient traceability and reliability of the battery pack, and provides a A full life cycle management method, system, and battery health of a quick-change electric vehicle battery pack that can realize the transparent management of the source of the battery pack, the traceability of the battery pack, and the controllable node, thereby effectively extending the service life of the battery pack Method, system, equipment and readable storage medium for obtaining.
  • the present invention provides a full life cycle management method for a battery pack of a quick-change electric vehicle, which includes the following steps:
  • the operation information includes: at least one of battery pack registration information, battery pack replacement information, battery pack charging information, battery pack maintenance information, and battery pack retirement information;
  • the health information of the battery pack is obtained based on the battery replacement information and the charging information; the battery state of the battery pack is judged based on the health information: when the battery state is a battery failure and the battery pack When entering the maintenance process, the battery pack maintenance information is generated; when the battery status is to be decommissioned and the battery pack enters the decommissioning process, the battery pack retirement information is generated.
  • the full life cycle management method further includes:
  • the state information of each battery pack is identified based on the operation information, and the state information includes one of a normal use state, a maintenance state, and a decommissioned state.
  • the battery pack charging information includes current power consumption data and charging process data
  • the full life cycle management method further includes:
  • the current power consumption data is verified according to the charging process data, so that power replacement charging is performed based on the current power consumption data during power replacement.
  • the full life cycle management method further includes:
  • the full life cycle management method further includes:
  • the health information of the battery pack is obtained based on all the battery pack charging information of the obtained battery pack.
  • the step of obtaining the health information of the battery pack based on all the battery pack charging information of the obtained battery pack includes:
  • the SOC table storing the SOC data of batteries of different battery types during the charging process under different driving range
  • the SOC data is the SOC data of a single battery in a single charging cycle
  • the step of constructing an SOC table specifically includes:
  • the unit SOC data corresponding to each unit charging cycle is respectively calculated based on the integral power algorithm
  • the SOC table is constructed based on all unit SOC data.
  • the current SOC data includes charging start SOC and charging end SOC
  • the step of correcting the current SOC data according to the target SOC data specifically includes:
  • the difference between the charging start SOC and the charging end SOC is corrected according to the target unit SOC data.
  • the obtaining method solves the current SOH by the following formula, which specifically includes:
  • SOH d current the SOH, Q charge and the charged electric current, SOC E to the end of charging SOC, SOC S charging start SOC, (SOC E -SOC S) X is a current SOC corrected data, Q is an amount The rated power is known, n is the number of unit charging cycles included in the charging time period, and SOC n-1 is the SOC corresponding to the nth unit charging cycle of the target rechargeable battery obtained from the SOC table query from the beginning of the charging to the end of the charging .
  • the station end includes: a swap station for replacing the battery pack of the electric vehicle, a charging station for charging the replaced battery pack, and a repair station for repairing the battery pack.
  • the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor.
  • the processor implements the quick-change electric motor as described above when the computer program is executed The whole life cycle management method of automobile battery pack.
  • the present invention also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above-mentioned full life cycle management method for a battery pack of a quick-change electric vehicle are realized.
  • the invention also provides a full life cycle management system for a battery pack of a quick-change electric vehicle, including:
  • the receiving module is used to receive the battery data message sent by the station;
  • Parsing module configured to parse the battery data message to obtain the corresponding identification code and operation information of the battery pack
  • the storage module is configured to correspondingly store all the received operation information based on the identification code.
  • the operation information includes: at least one of battery pack registration information, battery pack replacement information, battery pack charging information, battery pack maintenance information, and battery pack retirement information;
  • the full life cycle management system further includes:
  • the registration information generating module is configured to generate the battery pack registration information based on at least the identification code of the battery pack when the battery pack enters the battery swapping network for the first time;
  • a battery swap information generating module configured to record the corresponding battery swap information and generate the battery pack swap information when the battery pack performs a battery swap operation in the battery swap network;
  • a charging information generating module configured to obtain corresponding charging information and generate the battery pack charging information when the battery pack is performing a charging operation in the battery swapping network
  • a health information generating module configured to obtain health information of the battery pack based on the battery swap information and the charging information
  • the judgment module is used to judge the battery state of the battery pack based on the health information: when the battery state is a battery failure and the battery pack enters the maintenance process, generate the battery pack maintenance information; When the battery status is to be decommissioned and the battery pack enters the decommissioning process, the battery pack decommissioning information is generated.
  • the full life cycle management system further includes:
  • the status information generating module is configured to identify the status information of each battery pack based on the operation information, and the status information includes one of a normal use status, a maintenance status, and a decommissioning status.
  • the battery pack charging information includes current power consumption data and charging process data
  • the full life cycle management system further includes:
  • the verification module is configured to verify the current power consumption data according to the charging process data, so as to perform power replacement charging based on the current power consumption data during power replacement.
  • the full life cycle management system further includes:
  • the circulation path information generating module is configured to obtain the circulation path information of the battery pack based on all the acquired battery pack replacement information of the battery pack.
  • the full life cycle management system further includes:
  • the health information generating module is configured to obtain the health information of the battery pack based on all the battery pack charging information acquired in the battery pack.
  • the health information generation module specifically includes an SOC meter building module, a battery information acquisition module, a target SOC data acquisition module, a current charging data acquisition module, a correction module, and an SOH acquisition module;
  • the SOC table construction module is used to construct an SOC table, and the SOC table stores SOC data of batteries of different battery models in the charging process under different driving mileages;
  • the battery information acquisition module is used to acquire battery information of a target rechargeable battery, the battery information including the battery model and current mileage of the target rechargeable battery;
  • the target SOC data acquisition module is configured to acquire target SOC data corresponding to the target rechargeable battery according to the battery information and the SOC table;
  • the current charging data acquisition module is configured to acquire current charging data of the target rechargeable battery in a charging time period, where the current charging data includes the current charged power and current SOC data in the charging time period;
  • the correction module is used to correct the current SOC data according to the target SOC data
  • the SOH acquisition module is used to calculate the current SOH of the target rechargeable battery according to the corrected current charging data.
  • the SOC data is the SOC data of a single battery in a single charging cycle
  • the SOC table construction module includes a cycle division unit, a unit data acquisition unit, and a construction unit;
  • the period division unit is configured to divide the charging period into a plurality of unit charging periods on average;
  • the unit data acquisition unit is configured to calculate the unit SOC data corresponding to each unit charging cycle based on the integral power algorithm during the charging process;
  • the construction unit is used to construct the SOC table according to all unit SOC data.
  • the current SOC data includes charging start SOC and charging end SOC;
  • the correction module is used to extract the target unit SOC data between the unit SOC data corresponding to the charging start SOC and the unit SOC data corresponding to the charging end SOC from the target SOC data, and compare the target unit SOC data according to the target unit SOC data. The difference between the charging start SOC and the charging end SOC is corrected.
  • the obtaining system solves the current SOH by the following formula, which specifically includes:
  • SOH d current the SOH, Q charge and the charged electric current, SOC E to the end of charging SOC, SOC S charging start SOC, (SOC E -SOC S) X is a current SOC corrected data, Q is an amount The rated power is known, n is the number of unit charging cycles included in the charging time period, and SOC n-1 is the SOC corresponding to the nth unit charging cycle of the target rechargeable battery obtained from the SOC table query from the beginning of the charging to the end of the charging .
  • the station end includes: a swap station for replacing the battery pack of the electric vehicle, a charging station for charging the replaced battery pack, and a repair station for repairing the battery pack.
  • the invention realizes the full record of the battery pack of each quick-change electric vehicle from entering the switching network to exiting the switching network, and specifically realizes the recording and storage of network access, battery switching, charging, maintenance, and decommissioning operations, and finally forms The full life cycle record of the battery pack. Based on the full life cycle record, transparent management of battery pack sources can be found, whereabouts can be traced, and nodes can be controlled, thereby effectively prolonging the service life of battery packs, laying a solid foundation for battery safety and controllable data traceability.
  • FIG. 1 is a flow chart of a full life cycle management method for a battery pack of a quick-change electric vehicle according to Embodiment 1 of the present invention.
  • FIG. 2 is a flowchart of a full life cycle management method for a battery pack of a quick-change electric vehicle according to Embodiment 2 of the present invention.
  • FIG. 3 is a flowchart of a full life cycle management method for a battery pack of a quick-change electric vehicle according to Embodiment 3 of the present invention.
  • FIG. 4 is a schematic diagram of modules of a full life cycle management system for a battery pack of a quick-change electric vehicle according to Embodiment 4 of the present invention.
  • FIG. 5 is a flowchart of a method for acquiring battery health according to Embodiment 5 of the present invention.
  • FIG. 6 is a flowchart of step 310 in the method for acquiring battery health according to Embodiment 6 of the present invention.
  • Fig. 7 is a SOC curve diagram of a certain battery model constructed in the method for acquiring battery health in Embodiment 6 of the present invention under a driving range of 0 to 50,000 kilometers.
  • Fig. 8 is a SOC curve diagram of a certain battery model constructed in the method for obtaining battery health in Embodiment 6 of the present invention under a driving range of 50,000 to 100,000 kilometers.
  • FIG. 9 is a flowchart of step 350 in the method for acquiring battery health according to Embodiment 6 of the present invention.
  • FIG. 10 is a schematic structural diagram of an electronic device according to Embodiment 7 of the present invention.
  • FIG. 11 is a schematic diagram of modules of a system for acquiring battery health according to Embodiment 9 of the present invention.
  • FIG. 12 is a schematic diagram of modules of the SOC table building module in the battery health acquisition system according to Embodiment 10 of the present invention.
  • this embodiment provides a full life cycle management method for a battery pack of a quick-change electric vehicle, which includes the following steps:
  • Step S101 Receive the battery data message sent by the station.
  • Step S102 Parse the battery data message to obtain the identification code and operation information of the corresponding battery pack.
  • the operation information includes at least one of battery pack registration information, battery pack replacement information, battery pack charging information, battery pack maintenance information, and battery pack retirement information;
  • the battery pack registration information is generated based on at least the identification code of the battery pack.
  • the first entry of battery packs into the battery swapping network includes purchasing battery packs from battery suppliers to enter the swapping network and operating vehicles carrying battery packs into the swapping network.
  • the battery pack When the battery pack performs a battery exchange operation in the battery exchange network, the corresponding battery exchange information is recorded and the battery pack exchange information is generated.
  • the battery pack When the battery pack is charged in the battery swap network, the corresponding charging information is obtained and the battery pack charging information is generated.
  • the health information of the battery pack is obtained based on the battery replacement information and charging information; the battery status of the battery pack is judged based on the health information: when the battery status is battery failure and the battery pack enters the maintenance process, the battery pack maintenance information is generated; when the battery status When the battery pack is to be decommissioned and the battery pack enters the decommissioning process, the battery pack decommissioning information is generated.
  • Step S103 Correspondingly store all the received operation information based on the identification code.
  • Step S104 Identify the status information of each battery pack based on the operation information, the status information includes one of a normal use status, a maintenance status, and a decommissioning status.
  • Step S105 Obtain health information of the battery pack based on all the battery pack charging information of the obtained battery pack.
  • the specific process of obtaining health information is as follows:
  • the charging cycle is equally divided into multiple unit charging cycles; specifically, the entire charging process can be divided into 250 small cycles, each unit charging cycle occupies 0.4%; in the charging process, based on the integral power algorithm respectively
  • the unit SOC data corresponding to each unit charging cycle is calculated, that is, the SOC data is the SOC data of a single battery in a single charging cycle.
  • the battery model information of the target rechargeable battery and the current charging data of the target rechargeable battery during a charging time period are acquired, and the current charging data includes the current charged power and current SOC data during the charging time period.
  • the current SOC data includes charging start SOC and charging end SOC.
  • the target SOC data corresponding to the target rechargeable battery is obtained from the SOC table according to the battery model information, and the current SOC data is corrected according to the target SOC data. Specifically: extract the target unit SOC data between the unit SOC data corresponding to the charging start SOC and the unit SOC data corresponding to the charging end SOC from the target SOC data, and then calculate the charging start SOC and the charging end SOC according to the target unit SOC data The difference is corrected.
  • SOH d current the SOH, Q charge and the charged electric current, SOC E to the end of charging SOC, SOC S charging start SOC, (SOC E -SOC S) X is a current SOC corrected data, Q is an amount The rated power is known, n is the number of unit charging cycles included in the charging time period, and SOC n-1 is the SOC corresponding to the nth unit charging cycle of the target rechargeable battery obtained from the SOC table query from the beginning of the charging to the end of the charging .
  • the station end includes: a swap station for replacing the battery pack of an electric vehicle, a charging station for charging the replaced battery pack, and a repair station for repairing the battery pack.
  • This embodiment implements a full record of the battery pack of each quick-change electric vehicle from entering the battery swapping network to exiting the battery swapping network, and specifically realizes the recording and storage of network access, battery swap, charging, maintenance, and decommissioning operations, and finally Form the full life cycle record of the battery pack.
  • transparent management of battery pack sources can be found, whereabouts can be traced, and nodes can be controlled, thereby effectively prolonging the service life of battery packs, laying a solid foundation for battery safety and controllable data traceability.
  • the battery pack charging information includes current power consumption data and charging process data.
  • the full life cycle management method also includes:
  • step S201 the current power consumption data is verified according to the charging process data, so that the power replacement charging is performed based on the current power consumption data when the power is replaced.
  • the verification process of power consumption data is as follows:
  • each charging process data includes time parameters and power parameters.
  • each intermediate charging capacity is: obtaining the intermediate charging duration according to the time parameter in the adjacent charging process data, and obtaining the average DC output voltage according to the DC output voltage in the adjacent charging process data, and also according to the adjacent charging process data.
  • the DC output current in the charging process data obtains the average DC output current; finally, according to the intermediate charging time, the average DC output voltage and the average DC output current, the total amount of intermediate charging is obtained through integration.
  • the current power consumption data is verified according to the calculated total charge.
  • the current power consumption data refers to the total amount of charging of the battery pack reported by the charger.
  • the management of the life cycle of the battery pack in this embodiment further includes verifying the current power consumption data based on the stored charging process data, and the current power consumption data is used as the basis for charging for battery replacement.
  • the full life cycle management method further includes:
  • Step S301 Obtain the circulation path information of the battery pack based on all the battery pack replacement information of the obtained battery pack.
  • the management of the life cycle of the battery pack in this embodiment further includes the full record of the circulation of the battery pack among multiple switching stations, charging stations, and maintenance stations in the power exchange network, that is, circulation path information.
  • circulation path information the transparent management of the battery pack's source, whereabouts, and node controllable can be further realized, laying a solid foundation for the safety and control of the battery and the traceability of the data.
  • this embodiment provides a full life cycle management system for a battery pack of a quick-change electric vehicle, including: a receiving module 1, a parsing module 2, a storage module 3, a registration information generating module 4, and a battery exchange Information generating module 5, charging information generating module 6, health information generating module 7, judgment module 8, status information generating module 9, verification module 10, circulation path information generating module 11, and health information generating module 12.
  • the receiving module 1 is used to receive the battery data message sent by the station.
  • the station end includes: a swap station for replacing the battery pack of an electric vehicle, a charging station for charging the replaced battery pack, and a repair station for repairing the battery pack.
  • the parsing module 2 is used to parse the battery data message to obtain the identification code and operation information of the corresponding battery pack; the operation information includes: battery pack registration information, battery pack replacement information, battery pack charging information, battery pack maintenance information, and battery pack At least one of the retirement information.
  • the storage module 3 is used for correspondingly storing all the received operation information based on the identification code.
  • the registration information generating module 4 is configured to generate battery pack registration information based on at least the identification code of the battery pack when the battery pack enters the battery swapping network for the first time.
  • the battery exchange information generating module 5 is used to record the corresponding battery exchange information and generate battery pack exchange information when the battery pack performs a battery exchange operation in the battery exchange network.
  • the charging information generating module 6 is used for obtaining corresponding charging information and generating battery pack charging information when the battery pack is performing a charging operation in the battery exchange network.
  • the battery pack charging information includes the current power consumption data and charging process data.
  • the health information generating module 7 is used to obtain the health information of the battery pack based on the battery swap information and the charging information.
  • the judgment module 8 is used for judging the battery status of the battery pack based on the health information: when the battery status is battery failure and the battery pack enters the maintenance process, it generates battery pack maintenance information; when the battery status is to be decommissioned and the battery pack enters the decommissioning process , Generate battery pack decommissioning information.
  • the status information generating module 9 is used to identify the status information of each battery pack based on the operation information, and the status information includes one of a normal use status, a maintenance status, and a decommissioning status.
  • the verification module 10 is used for verifying the current power consumption data according to the charging process data, so as to perform power replacement charging based on the current power consumption data during power replacement.
  • the verification process of power consumption data is as follows:
  • each charging process data includes time parameters and power parameters.
  • each intermediate charging capacity is: obtaining the intermediate charging duration according to the time parameter in the adjacent charging process data, and obtaining the average DC output voltage according to the DC output voltage in the adjacent charging process data, and also according to the adjacent charging process data.
  • the DC output current in the charging process data obtains the average DC output current; finally, according to the intermediate charging time, the average DC output voltage and the average DC output current, the total amount of intermediate charging is obtained through integration.
  • the current power consumption data is verified according to the calculated total charge.
  • the current power consumption data refers to the total amount of charging of the battery pack reported by the charger.
  • the circulation path information generating module 11 is configured to obtain the circulation path information of the battery pack based on all the battery pack replacement information obtained.
  • the health information generating module 12 is configured to obtain the health information of the battery pack based on all the battery pack charging information obtained.
  • the specific process of obtaining health information is as follows:
  • the charging cycle is equally divided into multiple unit charging cycles; specifically, the entire charging process can be divided into 250 small cycles, each unit charging cycle occupies 0.4%; in the charging process, based on the integral power algorithm respectively
  • the unit SOC data corresponding to each unit charging cycle is calculated, that is, the SOC data is the SOC data of a single battery in a single charging cycle.
  • the battery model information of the target rechargeable battery and the current charging data of the target rechargeable battery during a charging time period are acquired, and the current charging data includes the current charged power and current SOC data during the charging time period.
  • the current SOC data includes charging start SOC and charging end SOC.
  • the target SOC data corresponding to the target rechargeable battery is obtained from the SOC table according to the battery model information, and the current SOC data is corrected according to the target SOC data. Specifically: extract the target unit SOC data between the unit SOC data corresponding to the charging start SOC and the unit SOC data corresponding to the charging end SOC from the target SOC data, and then calculate the charging start SOC and the charging end SOC according to the target unit SOC data The difference is corrected.
  • SOH d current the SOH, Q charge and the charged electric current, SOC E to the end of charging SOC, SOC S charging start SOC, (SOC E -SOC S) X is a current SOC corrected data, Q is an amount The rated power is known, n is the number of unit charging cycles included in the charging time period, and SOC n-1 is the SOC corresponding to the nth unit charging cycle of the target rechargeable battery obtained from the SOC table query from the beginning of the charging to the end of the charging .
  • This embodiment implements a full record of the battery pack of each quick-change electric vehicle from entering the battery swapping network to exiting the battery swapping network, and specifically realizes the recording and storage of network access, battery swap, charging, maintenance, and decommissioning operations, and finally Form the full life cycle record of the battery pack. Based on the full life cycle record, transparent management of battery pack sources can be found, whereabouts can be traced, and nodes can be controlled, thereby effectively extending the service life of battery packs, laying a solid foundation for battery safety and controllable data traceability.
  • a method for acquiring battery health as shown in FIG. 5, the acquiring method includes:
  • Step 310 Construct an SOC table; the SOC table stores SOC data of batteries of different battery types during the charging process under different driving range segments;
  • Step 320 Obtain battery information of a target rechargeable battery; the battery information includes the battery model and current mileage of the target rechargeable battery;
  • Step 330 Obtain target SOC data corresponding to the target rechargeable battery according to the battery information and the SOC table;
  • Step 340 Obtain current charging data of the target rechargeable battery in a charging time period; the current charging data includes the current charged power and current SOC data in the charging time period;
  • the battery power can be used as the basis for data calculation, and the battery capacity can also be obtained as the basis for data calculation.
  • This application is not particularly limited, and the solution of the present invention is described using battery power as the basis for data calculation.
  • Step 350 Correct the current SOC data according to the target SOC data
  • Step 360 Calculate the current SOH of the target rechargeable battery according to the corrected current charging data.
  • the method for acquiring battery health in this embodiment is further improved on the basis of Embodiment 5.
  • the SOC data is the SOC data of a single battery in a single charging cycle.
  • step 310 specifically includes:
  • Step 101 Divide the charging cycle into multiple unit charging cycles on average; specifically, the entire charging process can be divided into 250 small cycles, and each unit charging cycle occupies 0.4%.
  • Step 102 During the charging process, the unit SOC data corresponding to each unit charging cycle is respectively calculated based on the integral power algorithm;
  • the existing battery can automatically report the current SOC value during the charging process.
  • the integral power algorithm can be used to calculate the SOC value, if it is based on the battery power as If the data calculation is based, the specific calculation method can be solved by the following formula: current load voltage * current load current * time, if the battery capacity is used as the basis for data calculation, the specific calculation method can be solved by the following formula: current load current * time , Or based on other better integration algorithms, which is not specifically limited in this application.
  • Step 103 Construct an SOC table based on all unit SOC data.
  • step 350 specifically includes:
  • Step 501 Extract the target unit SOC data between the unit SOC data corresponding to the charging start SOC and the unit SOC data corresponding to the charging end SOC from the target SOC data;
  • Step 502 Correct the difference between the charging start SOC and the charging end SOC according to the target unit SOC data.
  • the obtaining method uses the following formula to solve the current SOH, which specifically includes:
  • SOH d current the SOH, Q charge and the charged electric current, SOC E to the end of charging SOC, SOC S charging start SOC, (SOC E -SOC S) X is a current SOC corrected data, Q is an amount The rated power is known, n is the number of unit charging cycles included in the charging time period, and SOC n-1 is the SOC corresponding to the nth unit charging cycle of the target rechargeable battery obtained from the SOC table query from the beginning of the charging to the end of the charging .
  • the construction process of the SOC table and the actual charging process of any battery are further given, how to specifically correct the SOC value of any battery based on the SOC table.
  • An electronic device includes a memory, a processor, and a computer program stored on the memory and capable of running on the processor.
  • the processor executes the computer program to implement the battery health acquisition method described in Embodiment 5 or 6.
  • FIG. 10 is a schematic structural diagram of an electronic device provided by this embodiment.
  • Figure 10 shows a block diagram of an exemplary electronic device 90 suitable for implementing embodiments of the present invention.
  • the electronic device 90 shown in FIG. 10 is only an example, and should not bring any limitation to the function and application scope of the embodiment of the present invention.
  • the electronic device 90 may be in the form of a general-purpose computing device, for example, it may be a server device.
  • the components of the electronic device 90 may include but are not limited to: at least one processor 91, at least one memory 92, and a bus 93 connecting different system components (including the memory 92 and the processor 91).
  • the bus 93 includes a data bus, an address bus, and a control bus.
  • the memory 92 may include a volatile memory, such as a random access memory (RAM) 921 and/or a cache memory 922, and may further include a read-only memory (ROM) 923.
  • RAM random access memory
  • ROM read-only memory
  • the memory 92 may also include a program tool 925 having a set (at least one) program module 924.
  • program module 924 includes but is not limited to: an operating system, one or more application programs, other program modules, and program data. In these examples Each or some combination of may include the realization of the network environment.
  • the processor 91 executes various functional applications and data processing by running a computer program stored in the memory 92.
  • the electronic device 90 may also communicate with one or more external devices 94 (for example, keyboards, pointing devices, etc.). This communication can be performed through an input/output (I/O) interface 95.
  • the electronic device 90 may also communicate with one or more networks (for example, a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through the network adapter 96.
  • the network adapter 96 communicates with other modules of the electronic device 90 through the bus 93.
  • a computer-readable storage medium has a computer program stored thereon, and when the program is executed by a processor, the steps of the method for acquiring battery health described in Embodiment 5 or 6 are realized.
  • the readable storage medium may more specifically include but not limited to: portable disk, hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device or any of the above The right combination.
  • the present invention can also be implemented in the form of a program product, which includes program code.
  • the program product runs on a terminal device, the program code is used to make the terminal device execute the implementation described in Embodiment 5 or 6. The steps of the method for obtaining battery health are described.
  • the program code for executing the present invention can be written in any combination of one or more programming languages.
  • the program code can be executed completely on the user equipment, partly executed on the user equipment, as an independent software.
  • the package is executed, partly on the user's device, partly on the remote device, or entirely on the remote device.
  • a battery health acquisition system as shown in Figure 11, the acquisition system includes a SOC meter construction module 601, a battery information acquisition module 602, a target SOC data acquisition module 603, a current electrical data acquisition module 604, a correction module 605, and SOH acquisition Module 606;
  • the SOC table construction module 601 is used to construct an SOC table, and the SOC table stores the SOC data of batteries of different battery types during the charging process under different driving mileages;
  • the battery information acquiring module 602 is used to acquire battery information of a target rechargeable battery, and the battery information includes the battery model and current mileage of the target rechargeable battery;
  • the target SOC data acquisition module 603 is configured to acquire target SOC data corresponding to the target rechargeable battery according to the battery information and the SOC table;
  • the current charging data acquisition module 604 is configured to acquire the current charging data of the target rechargeable battery in a charging time period, the current charging data includes the current charged power and current SOC data in the charging time period;
  • the battery power can be used as the basis for data calculation, and the battery capacity can also be obtained as the basis for data calculation.
  • This application is not particularly limited, and the solution of the present invention is described using battery power as the basis for data calculation.
  • the correction module 605 is used to correct the current SOC data according to the target SOC data
  • the SOH acquisition module 606 is used to calculate the current SOH of the target rechargeable battery according to the corrected current charging data.
  • the battery health acquisition system of this embodiment is further improved on the basis of embodiment 9.
  • the SOC data is the SOC data of a single battery in a single charging cycle.
  • the SOC table construction module 601 includes a period division unit 611. Unit data acquisition unit 612 and construction unit 613;
  • the period dividing unit 611 is used to divide the charging period into a plurality of unit charging periods on average; specifically, the entire charging process can be divided into 250 small periods, and each unit charging period occupies 0.4%.
  • the unit data acquisition unit 612 is configured to calculate the unit SOC data corresponding to each unit charging cycle based on the integral power algorithm during the charging process;
  • the existing battery can automatically report the current SOC value during the charging process.
  • the integral power algorithm can be used to calculate the SOC value, if it is based on the battery power as If the data calculation is based, the specific calculation method can be solved by the following formula: current load voltage * current load current * time, if the battery capacity is used as the basis for data calculation, the specific calculation method can be solved by the following formula: current load current * time , Or based on other better integration algorithms, which is not specifically limited in this application.
  • the construction unit 613 is used to construct an SOC table based on all unit SOC data.
  • the current SOC data includes charging start SOC and charging end SOC
  • the correction module 605 is used to extract the target unit SOC data between the unit SOC data corresponding to the charging start SOC and the unit SOC data corresponding to the charging end SOC from the target SOC data, and to start charging according to the target unit SOC data The difference between the SOC and the end-of-charge SOC is corrected.
  • the acquisition system uses the following formula to solve the current SOH, which specifically includes:
  • SOH d current the SOH, Q charge and the charged electric current, SOC E to the end of charging SOC, SOC S charging start SOC, (SOC E -SOC S) X is a current SOC corrected data, Q is an amount The rated power is known, n is the number of unit charging cycles included in the charging time period, and SOC n-1 is the SOC corresponding to the nth unit charging cycle of the target rechargeable battery obtained from the SOC table query from the beginning of the charging to the end of the charging .
  • the construction process of the SOC table and the actual charging process of any battery are further given, how to specifically correct the SOC value of any battery based on the SOC table.

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Abstract

一种快换式电动汽车的电池包的全生命周期管理方法及系统，其中，方法包括以下步骤：接收站端发出的电池数据报文(S101)；解析电池数据报文从而获取对应的电池包的识别码和操作信息(S102)；基于识别码对接收到的所有的操作信息进行对应存储(S103)。由此，实现了对每个快换式电动汽车的电池包从进入换电网络到退出换电网络的全记录，具体实现了入网、换电、充电、维修、退役操作进行记录并存储，最终形成电池包的全生命周期记录。基于全生命周期记录能够实现对电池包来源可查、去向可追、节点可控的透明管理，从而有效延长电池包的使用寿命，为电池安全可控，数据可追奠定了坚实的基础。

Description

快换式电动汽车的电池包的全生命周期管理方法、系统、电池健康度的获取方法、系统、设备及可读存储介质
本申请要求申请日为2019/12/31的中国专利申请201911413797.7的优先权以及申请日为2019/11/5的中国专利申请201911068427.4的优先权。本申请引用上述中国专利申请的全文。
技术领域
本发明涉及新能源汽车领域，特别涉及一种快换式电动汽车的电池包的全生命周期管理方法、系统、电池健康度的获取方法、系统、设备及可读存储介质。
背景技术
当前正在大力发展新能源汽车行业，快换式电动汽车的电池包作为新能源汽车三大重要组成部件之一，为整车提供动力，让用户像燃油车一样方便的使用电动车，像加油一样方便的补充能源。目前对电池包的生命周期的管控要求越来越高。如何做到电池包安全可靠、可实时追溯是所有新能源企业面临的也是必须要解决的难题。
当前，动力电池组是电动汽车的电力来源，对电池的监控和管理对电动汽车的稳定高效的运行尤为重要，而电池的一个重要指标就是电池健康度(SOH，State of Health)，SOH用来表征蓄电池容量、健康度、性能状态，简单的说就是电池使用一段时间后性能参数与标称参数的比值，SOH值的计算是通过电池从充满状态下以一定的倍率放电到截止电压所放出的容量与其所对应的标称容量的比值求得，目前对SOH的研究，基本都是基于实验室通过上述方式求解得到。这种求解方式是将电池的充电过程视为恒定不变的，然而，通过分析发现，任何电池的充电过程并非恒定不变的，这就导致现有的求解SOH值的结果不准确。如何得到精确的SOH值，以及时了解电池的当前健康状态，并对电池未来衰减进行预测，对于电动汽车的使用有着重要的意义
发明内容
本发明要解决的技术问题是为了克服现有技术中新能源企业对快换式电动汽车的电池包的生命周期缺乏有效管控，导致电池包的可追溯性及可靠性均不足的缺陷，提供一种能够实现对电池包来源可查、去向可追、节点可控的透明管理，从而有效延长电池包的使用寿命的快换式电动汽车的电池包的全生命周期管理方法、系统、电池健康度的获 取方法、系统、设备及可读存储介质。
本发明是通过下述技术方案来解决上述技术问题：
本发明提供了一种快换式电动汽车的电池包的全生命周期管理方法，包括以下步骤：
接收站端发出的电池数据报文；
解析所述电池数据报文从而获取对应的所述电池包的识别码和操作信息；
基于所述识别码对接收到的所有的所述操作信息进行对应存储。
较佳地，所述操作信息包括：电池包注册信息、电池包换电信息、电池包充电信息、电池包维修信息以及电池包退役信息中的至少一种；
在所述电池包第一次进入换电网络时，至少基于所述电池包的识别码生成所述电池包注册信息；
在所述电池包在所述换电网络中进行换电操作时，记录对应的换电信息并生成所述电池包换电信息；
在所述电池包在所述换电网络中进行充电操作时，获取对应的充电信息并生成所述电池包充电信息；
基于所述换电信息及所述充电信息得出所述电池包的健康信息；基于所述健康信息对所述电池包的电池状态进行判断：当所述电池状态为电池故障且所述电池包进入维修流程时，生成所述电池包维修信息；当所述电池状态为待退役且所述电池包进入退役流程时，生成所述电池包退役信息。
较佳地，所述全生命周期管理方法还包括：
基于所述操作信息标识出每个所述电池包的状态信息，所述状态信息包含：正常使用状态、维修状态以及退役状态中的一种。
较佳地，所述电池包充电信息包含本次电量消耗数据和充电过程数据；
所述全生命周期管理方法还包括：
根据所述充电过程数据对所述本次电量消耗数据进行校验，从而在换电时基于所述本次电量消耗数据进行换电计费。
较佳地，所述全生命周期管理方法还包括：
基于获取到的所述电池包的所有的所述电池包换电信息得到所述电池包的流转路径信息。
较佳地，所述全生命周期管理方法还包括：
基于获取到的所述电池包的所有的所述电池包充电信息得到所述电池包的健康度信息。
较佳地，所述基于获取到的所述电池包的所有的所述电池包充电信息得到所述电池包的健康度信息的步骤包括：
构建一SOC表，所述SOC表存储有不同电池型号的电池在不同行驶里程段下的充电过程中的SOC数据；
获取一目标充电电池的电池信息，所述电池信息包括所述目标充电电池的电池型号和当前行驶里程；
根据所述电池信息和所述SOC表获取与所述目标充电电池对应的目标SOC数据；
获取所述目标充电电池在一充电时间段内的当前充电数据，所述当前充电数据包括所述充电时间段内的当前充入电量和当前SOC数据；
根据所述目标SOC数据对所述当前SOC数据进行修正；
根据修正后的当前充电数据计算所述目标充电电池的当前SOH。
较佳地，所述SOC数据为单个电池在单个充电周期下的SOC数据，所述构建一SOC表的步骤具体包括：
将所述充电周期平均划分为多个单位充电周期；
在所述充电过程中，基于积分电量算法分别计算得到与每个单位充电周期对应的单位SOC数据；
根据所有单位SOC数据构建所述SOC表。
较佳地，所述当前SOC数据包括充电开始SOC和充电结束SOC，所述根据所述目标SOC数据对所述当前SOC数据进行修正的步骤具体包括：
从所述目标SOC数据中提取与充电开始SOC对应的单位SOC数据和与充电结束SOC对应的单位SOC数据之间的目标单位SOC数据；
根据所述目标单位SOC数据对所述充电开始SOC和所述充电结束SOC的差值进行修正。
较佳地，所述获取方法通过以下公式求解所述当前SOH，具体包括：
Figure PCTCN2020142035-appb-000001
(SOC E-SOC S) X＝(SOC E-SOC n-1)+(SOC n-1-SOC n-2)+…+(SOC 1-SOC S)
其中，SOH d为当前SOH，Q 充为当前充入电量，SOC E为充电结束SOC，SOC S为充电开始SOC，(SOC E-SOC S) X为修正后的当前SOC数据，Q 额为一已知额定电量，n为充电时间段内包含的单位充电周期的个数，SOC n-1为根据SOC表查询得到的目标充电电池在充电开始到充电结束的第n个单位充电周期对应的SOC。
较佳地，所述站端包括：用于对所述电动汽车进行电池包更换的换电站、用于对换下的电池包进行充电的充电站以及用于维修电池包的维修站。
本发明还提供了一种电子设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现如上所述的快换式电动汽车的电池包的全生命周期管理方法。
本发明还提供了一种计算机可读存储介质，其上存储有计算机程序，所述程序被处理器执行时实现如上所述的快换式电动汽车的电池包的全生命周期管理方法的步骤。
本发明还提供了一种快换式电动汽车的电池包的全生命周期管理系统，包括：
接收模块，用于接收站端发出的电池数据报文；
解析模块，用于解析所述电池数据报文从而获取对应的所述电池包的识别码和操作信息；
存储模块，用于基于所述识别码对接收到的所有的所述操作信息进行对应存储。
较佳地，所述操作信息包括：电池包注册信息、电池包换电信息、电池包充电信息、电池包维修信息以及电池包退役信息中的至少一种；
所述全生命周期管理系统还包括：
注册信息生成模块，用于在所述电池包第一次进入换电网络时，至少基于所述电池包的识别码生成所述电池包注册信息；
换电信息生成模块，用于在所述电池包在所述换电网络中进行换电操作时，记录对应的换电信息并生成所述电池包换电信息；
充电信息生成模块，用于在所述电池包在所述换电网络中进行充电操作时，获取对应的充电信息并生成所述电池包充电信息；
健康信息生成模块，用于基于所述换电信息及所述充电信息得出所述电池包的健康信息；
判断模块，用于基于所述健康信息对所述电池包的电池状态进行判断：当所述电池状态为电池故障且所述电池包进入维修流程时，生成所述电池包维修信息；当所述电池状态为待退役且所述电池包进入退役流程时，生成所述电池包退役信息。
较佳地，所述全生命周期管理系统还包括：
状态信息生成模块，用于基于所述操作信息标识出每个所述电池包的状态信息，所述状态信息包含：正常使用状态、维修状态以及退役状态中的一种。
较佳地，所述电池包充电信息包含本次电量消耗数据和充电过程数据；
所述全生命周期管理系统还包括：
校验模块，用于根据所述充电过程数据对所述本次电量消耗数据进行校验，从而在换电时基于所述本次电量消耗数据进行换电计费。
较佳地，所述全生命周期管理系统还包括：
流转路径信息生成模块，用于基于获取到的所述电池包的所有的所述电池包换电信息得到所述电池包的流转路径信息。
较佳地，所述全生命周期管理系统还包括：
健康度信息生成模块，用于基于获取到的所述电池包的所有的所述电池包充电信息得到所述电池包的健康度信息。
较佳地，所述健康度信息生成模块具体包括SOC表构建模块、电池信息获取模块、目标SOC数据获取模块、当前充电数据获取模块、修正模块和SOH获取模块；
所述SOC表构建模块用于构建一SOC表，所述SOC表存储有不同电池型号的电池在不同行驶里程段下的充电过程中的SOC数据；
所述电池信息获取模块用于获取一目标充电电池的电池信息，所述电池信息包括所述目标充电电池的电池型号和当前行驶里程；
所述目标SOC数据获取模块用于根据所述电池信息和所述SOC表获取与所述目标充电电池对应的目标SOC数据；
所述当前充电数据获取模块用于获取所述目标充电电池在一充电时间段内的当前充电数据，所述当前充电数据包括所述充电时间段内的当前充入电量和当前SOC数据；
所述修正模块用于根据所述目标SOC数据对所述当前SOC数据进行修正；
所述SOH获取模块用于根据修正后的当前充电数据计算所述目标充电电池的当前SOH。
较佳地，所述SOC数据为单个电池在单个充电周期下的SOC数据，所述SOC表构建模块包括周期划分单元、单位数据获取单元和构建单元；
所述周期划分单元用于将所述充电周期平均划分为多个单位充电周期；
所述单位数据获取单元用于在所述充电过程中基于积分电量算法分别计算得到与每个单位充电周期对应的单位SOC数据；
所述构建单元用于根据所有单位SOC数据构建所述SOC表。
较佳地，所述当前SOC数据包括充电开始SOC和充电结束SOC；
所述修正模块用于从所述目标SOC数据中提取与充电开始SOC对应的单位SOC数据和与充电结束SOC对应的单位SOC数据之间的目标单位SOC数据，并根据所述目标单位SOC数据对所述充电开始SOC和所述充电结束SOC的差值进行修正。
较佳地，所述获取系统通过以下公式求解所述当前SOH，具体包括：
Figure PCTCN2020142035-appb-000002
(SOC E-SOC S) X＝(SOC E-SOC n-1)+(SOC n-1-SOC n-2)+…+(SOC 1-SOC S)
其中，SOH d为当前SOH，Q 充为当前充入电量，SOC E为充电结束SOC，SOC S为充电开始SOC，(SOC E-SOC S) X为修正后的当前SOC数据，Q 额为一已知额定电量，n为充电时间段内包含的单位充电周期的个数，SOC n-1为根据SOC表查询得到的目标充电电池在充电开始到充电结束的第n个单位充电周期对应的SOC。
较佳地，所述站端包括：用于对所述电动汽车进行电池包更换的换电站、用于对换下的电池包进行充电的充电站以及用于维修电池包的维修站。
本发明的积极进步效果在于：
本发明实现了对每个快换式电动汽车的电池包从进入换电网络到退出换电网络的全记录，具体实现了入网、换电、充电、维修、退役操作进行记录并存储，最终形成电池包的全生命周期记录。基于全生命周期记录能够实现对电池包来源可查、去向可追、节点可控的透明管理，从而有效延长电池包的使用寿命，为电池安全可控，数据可追奠定了坚实的基础。
附图说明
图1为本发明实施例1的快换式电动汽车的电池包的全生命周期管理方法的流程图。
图2为本发明实施例2的快换式电动汽车的电池包的全生命周期管理方法的流程图。
图3为本发明实施例3的快换式电动汽车的电池包的全生命周期管理方法的流程图。
图4为本发明实施例4的快换式电动汽车的电池包的全生命周期管理系统的模块示意图。
图5为本发明实施例5的电池健康度的获取方法的流程图。
图6为本发明实施例6的电池健康度的获取方法中步骤310的流程图。
图7为本发明实施例6的电池健康度的获取方法中构建的某一电池型号在0～5万公里行驶里程段下的SOC曲线图。
图8为本发明实施例6的电池健康度的获取方法中构建的某一电池型号在5～10万 公里行驶里程段下的SOC曲线图。
图9为本发明实施例6的电池健康度的获取方法中步骤350的流程图。
图10为本发明实施例7的电子设备的结构示意图。
图11为本发明实施例9的电池健康度的获取系统的模块示意图。
图12为本发明实施例10的电池健康度的获取系统中SOC表构建模块的模块示意图。
具体实施方式
下面通过实施例的方式进一步说明本发明，但并不因此将本发明限制在所述的实施例范围之中。
实施例1
如图1所示，本实施例提供了一种快换式电动汽车的电池包的全生命周期管理方法，包括以下步骤：
步骤S101、接收站端发出的电池数据报文。
步骤S102、解析电池数据报文从而获取对应的电池包的识别码和操作信息。
其中，操作信息包括：电池包注册信息、电池包换电信息、电池包充电信息、电池包维修信息以及电池包退役信息中的至少一种；
在电池包第一次进入换电网络时，至少基于电池包的识别码生成电池包注册信息。其中，电池包第一次进入换电网络包括从电池供应商采购电池包进入换电网络和营运车辆携带电池包进入换电网络。
在电池包在换电网络中进行换电操作时，记录对应的换电信息并生成电池包换电信息。
在电池包在换电网络中进行充电操作时，获取对应的充电信息并生成电池包充电信息。
基于换电信息及充电信息得出电池包的健康信息；基于健康信息对电池包的电池状态进行判断：当电池状态为电池故障且电池包进入维修流程时，生成电池包维修信息；当电池状态为待退役且电池包进入退役流程时，生成电池包退役信息。
步骤S103、基于识别码对接收到的所有的操作信息进行对应存储。
步骤S104、基于操作信息标识出每个电池包的状态信息，状态信息包含：正常使用状态、维修状态以及退役状态中的一种。
步骤S105、基于获取到的电池包的所有的电池包充电信息得到电池包的健康度信息。 在该步骤中，健康度信息的具体获取过程如下：
首先，根据历史充电数据中不同电池型号的电池在不同行驶里程段下的充电过程的SOC(State ofcharge，荷电状态)数据构建一个SOC表。这里，将充电周期平均划分为多个单位充电周期；具体的，可以将整个充电过程划分为250个小的周期，每个单位充电周期占据0.4个百分点；在充电过程中，基于积分电量算法分别计算得到与每个单位充电周期对应的单位SOC数据，也就是说，SOC数据为单个电池在单个充电周期下的SOC数据。
进一步，获取目标充电电池的电池型号信息、以及目标充电电池在一充电时间段内的当前充电数据，当前充电数据包括充电时间段内的当前充入电量和当前SOC数据。这里，当前SOC数据包括充电开始SOC和充电结束SOC。
进一步，根据电池型号信息从SOC表中获取与目标充电电池对应的目标SOC数据，并根据目标SOC数据对当前SOC数据进行修正。具体为：从目标SOC数据中提取与充电开始SOC对应的单位SOC数据和与充电结束SOC对应的单位SOC数据之间的目标单位SOC数据，然后根据目标单位SOC数据对充电开始SOC和充电结束SOC的差值进行修正。
最后，根据修正后的当前充电数据计算目标充电电池的当前SOH(State of Health，健康状态)。SOH的计算公式为：
Figure PCTCN2020142035-appb-000003
(SOC E-SOC S) X＝(SOC E-SOC n-1)+(SOC n-1-SOC n-2)+…+(SOC 1-SOC S)；
其中，SOH d为当前SOH，Q 充为当前充入电量，SOC E为充电结束SOC，SOC S为充电开始SOC，(SOC E-SOC S) X为修正后的当前SOC数据，Q 额为一已知额定电量，n为充电时间段内包含的单位充电周期的个数，SOC n-1为根据SOC表查询得到的目标充电电池在充电开始到充电结束的第n个单位充电周期对应的SOC。
本实施例中，站端包括：用于对电动汽车进行电池包更换的换电站、用于对换下的电池包进行充电的充电站以及用于维修电池包的维修站。
本实施例实现了对每个快换式电动汽车的电池包从进入换电网络到退出换电网络的全记录，具体实现了入网、换电、充电、维修、退役操作进行记录并存储，最终形成电池包的全生命周期记录。基于全生命周期记录能够实现对电池包来源可查、去向可追、节点可控的透明管理，从而有效延长电池包的使用寿命，为电池安全可控，数据可追奠定 了坚实的基础。
实施例2
本实施例为在实施例1的基础上的进一步改进，电池包充电信息包含本次电量消耗数据和充电过程数据。如图2所示，全生命周期管理方法还包括：
步骤S201、根据充电过程数据对本次电量消耗数据进行校验，从而在换电时基于本次电量消耗数据进行换电计费。在该步骤中，进行电量消耗数据的校验过程如下：
首先，获取电池包整个充电过程中上报的多个充电过程数据，每个充电过程数据包括时间参数和电力参数。
进一步，根据相邻的两个充电过程数据计算每个中间充电总量，然后根据所有的中间充电总量计算出充电总量。每个中间充电量的计算过程为：根据相邻的充电过程数据中的时间参数获取中间充电时长，并根据相邻的充电过程数据中的直流输出电压获取平均直流输出电压，还根据相邻的充电过程数据中的直流输出电流获取平均直流输出电流；最后，根据中间充电时长、平均直流输出电压以及平均直流输出电流通过积分获取中间充电总量。
最后，根据计算出的充电总量对本次电量消耗数据进行校验。这里，本次电量消耗数据是指充电机上报的该电池包充电的总量。
本实施例对电池包的生命周期的管理进一步还包括了基于存储的充电过程数据对本次电量消耗数据进行校验，以本次电量消耗数据作为换电计费的依据。
实施例3
本实施例为在实施例2的基础上的进一步改进，如图3所示，全生命周期管理方法还包括：
步骤S301、基于获取到的电池包的所有的电池包换电信息得到电池包的流转路径信息。
本实施例对电池包的生命周期的管理进一步还包括了电池包在换电网络的多个换电站、充电站、维修站之间流转时的全记录，也就是流转路径信息。根据该流转路径信息能够进一步实现了对该电池包来源可查、去向可追、节点可控的透明管理，为电池安全可控，数据可追奠定了坚实的基础。
实施例4
如图4所示，本实施例提供了一种快换式电动汽车的电池包的全生命周期管理系统，包括：接收模块1、解析模块2、存储模块3、注册信息生成模块4、换电信息生成模块5、充电信息生成模块6、健康信息生成模块7、判断模块8、状态信息生成模块9、校验 模块10、流转路径信息生成模块11和健康度信息生成模块12。
其中，接收模块1用于接收站端发出的电池数据报文。站端包括：用于对电动汽车进行电池包更换的换电站、用于对换下的电池包进行充电的充电站以及用于维修电池包的维修站。
解析模块2用于解析电池数据报文从而获取对应的电池包的识别码和操作信息；操作信息包括：电池包注册信息、电池包换电信息、电池包充电信息、电池包维修信息以及电池包退役信息中的至少一种。
存储模块3用于基于识别码对接收到的所有的操作信息进行对应存储。
注册信息生成模块4用于在电池包第一次进入换电网络时，至少基于电池包的识别码生成电池包注册信息。
换电信息生成模块5用于在电池包在换电网络中进行换电操作时，记录对应的换电信息并生成电池包换电信息。
充电信息生成模块6用于在电池包在换电网络中进行充电操作时，获取对应的充电信息并生成电池包充电信息。电池包充电信息包含本次电量消耗数据和充电过程数据。
健康信息生成模块7用于基于换电信息及充电信息得出电池包的健康信息。
判断模块8用于基于健康信息对电池包的电池状态进行判断：当电池状态为电池故障且电池包进入维修流程时，生成电池包维修信息；当电池状态为待退役且电池包进入退役流程时，生成电池包退役信息。
状态信息生成模块9用于基于操作信息标识出每个电池包的状态信息，状态信息包含：正常使用状态、维修状态以及退役状态中的一种。
校验模块10用于根据充电过程数据对本次电量消耗数据进行校验，从而在换电时基于本次电量消耗数据进行换电计费。这里，进行电量消耗数据的校验过程如下：
首先，获取电池包整个充电过程中上报的多个充电过程数据，每个充电过程数据包括时间参数和电力参数。
进一步，根据相邻的两个充电过程数据计算每个中间充电总量，然后根据所有的中间充电总量计算出充电总量。每个中间充电量的计算过程为：根据相邻的充电过程数据中的时间参数获取中间充电时长，并根据相邻的充电过程数据中的直流输出电压获取平均直流输出电压，还根据相邻的充电过程数据中的直流输出电流获取平均直流输出电流；最后，根据中间充电时长、平均直流输出电压以及平均直流输出电流通过积分获取中间充电总量。
最后，根据计算出的充电总量对本次电量消耗数据进行校验。这里，本次电量消耗 数据是指充电机上报的该电池包充电的总量。
流转路径信息生成模块11用于基于获取到的电池包的所有的电池包换电信息得到电池包的流转路径信息。
健康度信息生成模块12用于基于获取到的电池包的所有的电池包充电信息得到电池包的健康度信息。这里，健康度信息的具体获取过程如下：
首先，根据历史充电数据中不同电池型号的电池在不同行驶里程段下的充电过程的SOC数据构建一个SOC表。这里，将充电周期平均划分为多个单位充电周期；具体的，可以将整个充电过程划分为250个小的周期，每个单位充电周期占据0.4个百分点；在充电过程中，基于积分电量算法分别计算得到与每个单位充电周期对应的单位SOC数据，也就是说，SOC数据为单个电池在单个充电周期下的SOC数据。
进一步，获取目标充电电池的电池型号信息、以及目标充电电池在一充电时间段内的当前充电数据，当前充电数据包括充电时间段内的当前充入电量和当前SOC数据。这里，当前SOC数据包括充电开始SOC和充电结束SOC。
进一步，根据电池型号信息从SOC表中获取与目标充电电池对应的目标SOC数据，并根据目标SOC数据对当前SOC数据进行修正。具体为：从目标SOC数据中提取与充电开始SOC对应的单位SOC数据和与充电结束SOC对应的单位SOC数据之间的目标单位SOC数据，然后根据目标单位SOC数据对充电开始SOC和充电结束SOC的差值进行修正。
最后，根据修正后的当前充电数据计算目标充电电池的当前SOH。SOH的计算公式为：
Figure PCTCN2020142035-appb-000004
(SOC E-SOC S) X＝(SOC E-SOC n-1)+(SOC n-1-SOC n-2)+…+(SOC 1-SOC S)；
其中，SOH d为当前SOH，Q 充为当前充入电量，SOC E为充电结束SOC，SOC S为充电开始SOC，(SOC E-SOC S) X为修正后的当前SOC数据，Q 额为一已知额定电量，n为充电时间段内包含的单位充电周期的个数，SOC n-1为根据SOC表查询得到的目标充电电池在充电开始到充电结束的第n个单位充电周期对应的SOC。
本实施例实现了对每个快换式电动汽车的电池包从进入换电网络到退出换电网络的全记录，具体实现了入网、换电、充电、维修、退役操作进行记录并存储，最终形成电池包的全生命周期记录。基于全生命周期记录能够实现对电池包来源可查、去向可追、节 点可控的透明管理，从而有效延长电池包的使用寿命，为电池安全可控，数据可追奠定了坚实的基础。
实施例5
一种电池健康度的获取方法，如图5所示，所述获取方法包括：
步骤310、构建一SOC表；SOC表存储有不同电池型号的电池在不同行驶里程段下的充电过程中的SOC数据；
步骤320、获取一目标充电电池的电池信息；电池信息包括目标充电电池的电池型号和当前行驶里程；
步骤330、根据电池信息和SOC表获取与目标充电电池对应的目标SOC数据；
步骤340、获取目标充电电池在一充电时间段内的当前充电数据；当前充电数据包括充电时间段内的当前充入电量和当前SOC数据；
需要说明的是，可以使用电池电量作为数据计算的基础，也可以获取电池容量作为数据计算的基础，本申请不作特别限定，本发明的方案以电池电量作为数据计算的基础进行阐述。
步骤350、根据目标SOC数据对当前SOC数据进行修正；
步骤360、根据修正后的当前充电数据计算目标充电电池的当前SOH。
本实施例中，避免通常意义中对电池充电过程为均匀充电的误解，基于拥有的大量的历史电池充电数据，构建SOC表，获取不同电池型号的电池在不同行驶里程段下的精确SOC值，进而基于该SOC表对任一电池的实际充电过程中的SOC值进行修正，基于该修正后的SOC值，进一步得到更加精准的电池的SOH，以及时了解电池的衰减情况。
实施例6
本实施例的电池健康度的获取方法是在实施例5的基础上进一步改进，SOC数据为单个电池在单个充电周期下的SOC数据，如图6所示，步骤310具体包括：
步骤101、将充电周期平均划分为多个单位充电周期；具体的，可以将整个充电过程划分为250个小的周期，每个单位充电周期占据0.4个百分点。
步骤102、在充电过程中，基于积分电量算法分别计算得到与每个单位充电周期对应的单位SOC数据；
需要说明的是，现有的电池在充电过程中是能够自动上报当前的SOC值的，本申请中，为了确保数据的精准度，可采用积分电量算法对SOC值进行计算，若是基于电池电量作为数据计算基础的话，具体计算方法可以通过以下公式进行求解：当前负载电压*当前负载电流*时间，若是基于电池容量作为数据计算基础的话，具体计算方法可以通过以 下公式进行求解：当前负载电流*时间，或者基于其他更优的积分算法进行求解，本申请不作特别限定。
步骤103、根据所有单位SOC数据构建SOC表。
需要说明的是，在构建SOC表时，为了更加直观的了解不同电池型号的电池在不同行驶里程段下的SOC值，可以用表的形式进行展现，具体参见图7、8所示，分别列举了某一电池型号的电池在0～5万公里和5～10万公里行驶里程段下的SOC曲线图。
另外，当前SOC数据包括充电开始SOC和充电结束SOC，进一步的，如图5所示，步骤350具体包括：
步骤501、从目标SOC数据中提取与充电开始SOC对应的单位SOC数据和与充电结束SOC对应的单位SOC数据之间的目标单位SOC数据；
步骤502、根据目标单位SOC数据对充电开始SOC和充电结束SOC的差值进行修正。
本实施例中，获取方法通过以下公式求解当前SOH，具体包括：
Figure PCTCN2020142035-appb-000005
(SOC E-SOC S) X＝(SOC E-SOC n-1)+(SOC n-1-SOC n-2)+…+(SOC 1-SOC S)
其中，SOH d为当前SOH，Q 充为当前充入电量，SOC E为充电结束SOC，SOC S为充电开始SOC，(SOC E-SOC S) X为修正后的当前SOC数据，Q 额为一已知额定电量，n为充电时间段内包含的单位充电周期的个数，SOC n-1为根据SOC表查询得到的目标充电电池在充电开始到充电结束的第n个单位充电周期对应的SOC。
本实施例中，更进一步的给出了SOC表的构建过程以及任一电池的实际充电过程中，如何具体的基于该SOC表对该任一电池的SOC值进行修正。
实施例7
一种电子设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，处理器执行计算机程序时实现实施例5或6所述的电池健康度的获取方法。
图10为本实施例提供的一种电子设备的结构示意图。图10示出了适于用来实现本发明实施方式的示例性电子设备90的框图。图10显示的电子设备90仅仅是一个示例，不应对本发明实施例的功能和使用范围带来任何限制。
如图10所示，电子设备90可以以通用计算设备的形式表现，例如其可以为服务器设备。电子设备90的组件可以包括但不限于：至少一个处理器91、至少一个存储器92、连接不同系统组件(包括存储器92和处理器91)的总线93。
总线93包括数据总线、地址总线和控制总线。
存储器92可以包括易失性存储器，例如随机存取存储器(RAM)921和/或高速缓存存储器922，还可以进一步包括只读存储器(ROM)923。
存储器92还可以包括具有一组(至少一个)程序模块924的程序工具925，这样的程序模块924包括但不限于：操作系统、一个或者多个应用程序、其它程序模块以及程序数据，这些示例中的每一个或某种组合中可能包括网络环境的实现。
处理器91通过运行存储在存储器92中的计算机程序，从而执行各种功能应用以及数据处理。
电子设备90也可以与一个或多个外部设备94(例如键盘、指向设备等)通信。这种通信可以通过输入/输出(I/O)接口95进行。并且，电子设备90还可以通过网络适配器96与一个或者多个网络(例如局域网(LAN)，广域网(WAN)和/或公共网络，例如因特网)通信。网络适配器96通过总线93与电子设备90的其它模块通信。应当明白，尽管图中未示出，可以结合电子设备90使用其它硬件和/或软件模块，包括但不限于：微代码、设备驱动器、冗余处理器、外部磁盘驱动阵列、RAID(磁盘阵列)系统、磁带驱动器以及数据备份存储系统等。
应当注意，尽管在上文详细描述中提及了电子设备的若干单元/模块或子单元/模块，但是这种划分仅仅是示例性的并非强制性的。实际上，根据本申请的实施方式，上文描述的两个或更多单元/模块的特征和功能可以在一个单元/模块中具体化。反之，上文描述的一个单元/模块的特征和功能可以进一步划分为由多个单元/模块来具体化。
实施例8
一种计算机可读存储介质，其上存储有计算机程序，程序被处理器执行时实现实施例5或6所述的电池健康度的获取方法的步骤。
其中，可读存储介质可以采用的更具体可以包括但不限于：便携式盘、硬盘、随机存取存储器、只读存储器、可擦拭可编程只读存储器、光存储器件、磁存储器件或上述的任意合适的组合。
在可能的实施方式中，本发明还可以实现为一种程序产品的形式，其包括程序代码，当程序产品在终端设备上运行时，程序代码用于使终端设备执行实现实施例5或6所述的电池健康度的获取方法的步骤。
其中，可以以一种或多种程序设计语言的任意组合来编写用于执行本发明的程序代码，程序代码可以完全地在用户设备上执行、部分地在用户设备上执行、作为一个独立的软件包执行、部分在用户设备上部分在远程设备上执行或完全在远程设备上执行。
实施例9
一种电池健康度的获取系统，如图11所示，获取系统包括SOC表构建模块601、电池信息获取模块602、目标SOC数据获取模块603、当前电数据获取模块604、修正模块605和SOH获取模块606；
SOC表构建模块601用于构建一SOC表，SOC表存储有不同电池型号的电池在不同行驶里程段下的充电过程中的SOC数据；
电池信息获取模块602用于获取一目标充电电池的电池信息，电池信息包括目标充电电池的电池型号和当前行驶里程；
目标SOC数据获取模块603用于根据电池信息和SOC表获取与目标充电电池对应的目标SOC数据；
当前充电数据获取模块604用于获取目标充电电池在一充电时间段内的当前充电数据，当前充电数据包括充电时间段内的当前充入电量和当前SOC数据；
需要说明的是，可以使用电池电量作为数据计算的基础，也可以获取电池容量作为数据计算的基础，本申请不作特别限定，本发明的方案以电池电量作为数据计算的基础进行阐述。
修正模块605用于根据目标SOC数据对当前SOC数据进行修正；
SOH获取模块606用于根据修正后的当前充电数据计算目标充电电池的当前SOH。
本实施例中，避免通常意义中对电池充电过程为均匀充电的误解，基于拥有的大量的历史电池充电数据，构建SOC表，获取不同电池型号的电池在不同行驶里程段下的精确SOC值，进而基于该SOC表对任一电池的实际充电过程中的SOC值进行修正，基于该修正后的SOC值，进一步得到更加精准的电池的SOH，以及时了解电池的衰减情况。
实施例10
本实施例的电池健康度的获取系统是在实施例9的基础上进一步改进，SOC数据为单个电池在单个充电周期下的SOC数据，如图12所示，SOC表构建模块601包括周期划分单元611、单位数据获取单元612和构建单元613；
周期划分单元611用于将充电周期平均划分为多个单位充电周期；具体的，可以将整个充电过程划分为250个小的周期，每个单位充电周期占据0.4个百分点。
单位数据获取单元612用于在充电过程中基于积分电量算法分别计算得到与每个单位充电周期对应的单位SOC数据；
需要说明的是，现有的电池在充电过程中是能够自动上报当前的SOC值的，本申请中，为了确保数据的精准度，可采用积分电量算法对SOC值进行计算，若是基于电池电 量作为数据计算基础的话，具体计算方法可以通过以下公式进行求解：当前负载电压*当前负载电流*时间，若是基于电池容量作为数据计算基础的话，具体计算方法可以通过以下公式进行求解：当前负载电流*时间，或者基于其他更优的积分算法进行求解，本申请不作特别限定。
构建单元613用于根据所有单位SOC数据构建SOC表。
需要说明的是，在构建SOC表时，为了更加直观的了解不同电池型号的电池在不同行驶里程段下的SOC值，可以用表的形式进行展现。
另外，当前SOC数据包括充电开始SOC和充电结束SOC；
进一步的，修正模块605用于从目标SOC数据中提取与充电开始SOC对应的单位SOC数据和与充电结束SOC对应的单位SOC数据之间的目标单位SOC数据，并根据目标单位SOC数据对充电开始SOC和充电结束SOC的差值进行修正。
本实施例中，获取系统通过以下公式求解当前SOH，具体包括：
Figure PCTCN2020142035-appb-000006
(SOC E-SOC S) X＝(SOC E-SOC n-1)+(SOC n-1-SOC n-2)+…+(SOC 1-SOC S)
其中，SOH d为当前SOH，Q 充为当前充入电量，SOC E为充电结束SOC，SOC S为充电开始SOC，(SOC E-SOC S) X为修正后的当前SOC数据，Q 额为一已知额定电量，n为充电时间段内包含的单位充电周期的个数，SOC n-1为根据SOC表查询得到的目标充电电池在充电开始到充电结束的第n个单位充电周期对应的SOC。
本实施例中，更进一步的给出了SOC表的构建过程以及任一电池的实际充电过程中，如何具体的基于该SOC表对该任一电池的SOC值进行修正。
虽然以上描述了本发明的具体实施方式，但是本领域的技术人员应当理解，这仅是举例说明，本发明的保护范围是由所附权利要求书限定的。本领域的技术人员在不背离本发明的原理和实质的前提下，可以对这些实施方式做出多种变更或修改，但这些变更和修改均落入本发明的保护范围。

Claims (19)

  1. 一种快换式电动汽车的电池包的全生命周期管理方法，其特征在于，包括以下步骤：
    接收站端发出的电池数据报文；
    解析所述电池数据报文从而获取对应的所述电池包的识别码和操作信息；
    基于所述识别码对接收到的所有的所述操作信息进行对应存储。
  2. 如权利要求1所述的快换式电动汽车的电池包的全生命周期管理方法，其特征在于，所述操作信息包括：电池包注册信息、电池包换电信息、电池包充电信息、电池包维修信息以及电池包退役信息中的至少一种；
    在所述电池包第一次进入换电网络时，至少基于所述电池包的识别码生成所述电池包注册信息；
    在所述电池包在所述换电网络中进行换电操作时，记录对应的换电信息并生成所述电池包换电信息；
    在所述电池包在所述换电网络中进行充电操作时，获取对应的充电信息并生成所述电池包充电信息；
    基于所述换电信息及所述充电信息得出所述电池包的健康信息；基于所述健康信息对所述电池包的电池状态进行判断：当所述电池状态为电池故障且所述电池包进入维修流程时，生成所述电池包维修信息；当所述电池状态为待退役且所述电池包进入退役流程时，生成所述电池包退役信息。
  3. 如权利要求1所述的快换式电动汽车的电池包的全生命周期管理方法，其特征在于，所述全生命周期管理方法还包括：
    基于所述操作信息标识出每个所述电池包的状态信息，所述状态信息包含：正常使用状态、维修状态以及退役状态中的一种。
  4. 如权利要求2所述的快换式电动汽车的电池包的全生命周期管理方法，其特征在于，
    所述电池包充电信息包含本次电量消耗数据和充电过程数据；
    所述全生命周期管理方法还包括：
    根据所述充电过程数据对所述本次电量消耗数据进行校验，从而在换电时基于所述本次电量消耗数据进行换电计费。
  5. 如权利要求2所述的快换式电动汽车的电池包的全生命周期管理方法，其特征在 于，所述全生命周期管理方法还包括：
    基于获取到的所述电池包的所有的所述电池包换电信息得到所述电池包的流转路径信息。
  6. 如权利要求2所述的快换式电动汽车的电池包的全生命周期管理方法，其特征在于，所述全生命周期管理方法还包括：
    基于获取到的所述电池包的所有的所述电池包充电信息得到所述电池包的健康度信息。
  7. 如利要求6所述的快换式电动汽车的电池包的全生命周期管理方法，其特征在于，所述基于获取到的所述电池包的所有的所述电池包充电信息得到所述电池包的健康度信息的步骤包括：
    构建一SOC表，所述SOC表存储有不同电池型号的电池在不同行驶里程段下的充电过程中的SOC数据；
    获取一目标充电电池的电池信息，所述电池信息包括所述目标充电电池的电池型号和当前行驶里程；
    根据所述电池信息和所述SOC表获取与所述目标充电电池对应的目标SOC数据；
    获取所述目标充电电池在一充电时间段内的当前充电数据，所述当前充电数据包括所述充电时间段内的当前充入电量和当前SOC数据；
    根据所述目标SOC数据对所述当前SOC数据进行修正；
    根据修正后的当前充电数据计算所述目标充电电池的当前SOH。
  8. 如利要求7所述的快换式电动汽车的电池包的全生命周期管理方法，其特征在于，所述SOC数据为单个电池在单个充电周期下的SOC数据，所述构建一SOC表的步骤具体包括：
    将所述充电周期平均划分为多个单位充电周期；
    在所述充电过程中，基于积分电量算法分别计算得到与每个单位充电周期对应的单位SOC数据；
    根据所有单位SOC数据构建所述SOC表。
  9. 如利要求8所述的快换式电动汽车的电池包的全生命周期管理方法，其特征在于，所述当前SOC数据包括充电开始SOC和充电结束SOC，所述根据所述目标SOC数据对所述当前SOC数据进行修正的步骤具体包括：
    从所述目标SOC数据中提取与充电开始SOC对应的单位SOC数据和与充电结束SOC对应的单位SOC数据之间的目标单位SOC数据；
    根据所述目标单位SOC数据对所述充电开始SOC和所述充电结束SOC的差值进行修正。
  10. 如利要求7所述的快换式电动汽车的电池包的全生命周期管理方法，其特征在于，所述获取方法通过以下公式求解所述当前SOH，具体包括：
    Figure PCTCN2020142035-appb-100001
    (SOC E-SOC S) X＝(SOC E-SOC n-1)+(SOC n-1-SOC n-2)+…+(SOC 1-SOC S)
    其中，SOH d为当前SOH，Q 充为当前充入电量，SOC E为充电结束SOC，SOC S为充电开始SOC，(SOC E-SOC S) X为修正后的当前SOC数据，Q 额为一已知额定电量，n为充电时间段内包含的单位充电周期的个数，SOC n-1为根据SOC表查询得到的目标充电电池在充电开始到充电结束的第n个单位充电周期对应的SOC。
  11. 如权利要求2所述的快换式电动汽车的电池包的全生命周期管理方法，其特征在于，所述站端包括：用于对所述电动汽车进行电池包更换的换电站、用于对换下的电池包进行充电的充电站以及用于维修电池包的维修站。
  12. 一种快换式电动汽车的电池包的全生命周期管理系统，其特征在于，包括：
    接收模块，用于接收站端发出的电池数据报文；
    解析模块，用于解析所述电池数据报文从而获取对应的所述电池包的识别码和操作信息；
    存储模块，用于基于所述识别码对接收到的所有的所述操作信息进行对应存储。
  13. 一种电池健康度的获取方法，其特征在于，所述获取方法包括：
    构建一SOC表，所述SOC表存储有不同电池型号的电池在不同行驶里程段下的充电过程中的SOC数据；
    获取一目标充电电池的电池信息，所述电池信息包括所述目标充电电池的电池型号和当前行驶里程；
    根据所述电池信息和所述SOC表获取与所述目标充电电池对应的目标SOC数据；
    获取所述目标充电电池在一充电时间段内的当前充电数据，所述当前充电数据包括所述充电时间段内的当前充入电量和当前SOC数据；
    根据所述目标SOC数据对所述当前SOC数据进行修正；
    根据修正后的当前充电数据计算所述目标充电电池的当前SOH。
  14. 如权利要求13所述的电池健康度的获取方法，其特征在于，所述SOC数据为 单个电池在单个充电周期下的SOC数据，所述构建一SOC表的步骤具体包括：
    将所述充电周期平均划分为多个单位充电周期；
    在所述充电过程中，基于积分电量算法分别计算得到与每个单位充电周期对应的单位SOC数据；
    根据所有单位SOC数据构建所述SOC表。
  15. 如权利要求14所述的电池健康度的获取方法，其特征在于，所述当前SOC数据包括充电开始SOC和充电结束SOC，所述根据所述目标SOC数据对所述当前SOC数据进行修正的步骤具体包括：
    从所述目标SOC数据中提取与充电开始SOC对应的单位SOC数据和与充电结束SOC对应的单位SOC数据之间的目标单位SOC数据；
    根据所述目标单位SOC数据对所述充电开始SOC和所述充电结束SOC的差值进行修正。
  16. 如权利要求13所述的电池健康度的获取方法，其特征在于，所述获取方法通过以下公式求解所述当前SOH，具体包括：
    Figure PCTCN2020142035-appb-100002
    (SOC E-SOC S) X＝(SOC E-SOC n-1)+(SOC n-1-SOC n-2)+…+(SOC 1-SOC S)
    其中，SOH d为当前SOH，Q 充为当前充入电量，SOC E为充电结束SOC，SOC S为充电开始SOC，(SOC E-SOC S) X为修正后的当前SOC数据，Q 额为一已知额定电量，n为充电时间段内包含的单位充电周期的个数，SOC n-1为根据SOC表查询得到的目标充电电池在充电开始到充电结束的第n个单位充电周期对应的SOC。
  17. 一种电子设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现权利要求1至11及13至16中任一项所述的电池健康度的获取方法。
  18. 一种计算机可读存储介质，其上存储有计算机程序，其特征在于，所述程序被处理器执行时实现权利要求1至11及13至16中任一项所述的电池健康度的获取方法的步骤。
  19. 一种电池健康度的获取系统，其特征在于，所述获取系统包括SOC表构建模块、电池信息获取模块、目标SOC数据获取模块、当前充电数据获取模块、修正模块和SOH获取模块；
    所述SOC表构建模块用于构建一SOC表，所述SOC表存储有不同电池型号的电池 在不同行驶里程段下的充电过程中的SOC数据；
    所述电池信息获取模块用于获取一目标充电电池的电池信息，所述电池信息包括所述目标充电电池的电池型号和当前行驶里程；
    所述目标SOC数据获取模块用于根据所述电池信息和所述SOC表获取与所述目标充电电池对应的目标SOC数据；
    所述当前充电数据获取模块用于获取所述目标充电电池在一充电时间段内的当前充电数据，所述当前充电数据包括所述充电时间段内的当前充入电量和当前SOC数据；
    所述修正模块用于根据所述目标SOC数据对所述当前SOC数据进行修正；
    所述SOH获取模块用于根据修正后的当前充电数据计算所述目标充电电池的当前SOH。
PCT/CN2020/142035 2019-11-05 2020-12-31 快换式电动汽车的电池包的全生命周期管理方法、系统、电池健康度的获取方法、系统、设备及可读存储介质 WO2021089062A1 (zh)

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