CN-121995230-A - Method and device for predicting available discharge energy of battery, electronic equipment and medium

CN121995230ACN 121995230 ACN121995230 ACN 121995230ACN-121995230-A

Abstract

The embodiment of the application provides a method and a device for predicting available discharge energy of a battery, electronic equipment and a medium, and relates to the technical field of batteries. The method comprises the steps of determining the current temperature, the current state of charge and a plurality of historical discharge test data of a battery to be predicted, constructing a first data mapping table among the temperature, the state of charge and the SOE according to the historical discharge test data, determining the discharge cut-off temperature of the battery to be predicted according to the current temperature and the current state of charge, and looking up a table from the first data mapping table according to the current state of charge and the discharge cut-off temperature to obtain the predicted SOE of the battery to be predicted. According to the scheme, the predicted SOE is obtained by calculating the discharge cut-off temperature close to the actual value of the battery according to the discharge predicted cut-off temperature and the current state of charge table, compared with the method for predicting the SOE according to the current temperature of the battery only, the influence of the battery temperature rise on the SOE in the discharging process can be simulated, so that the predicted SOE is close to the actual working condition of the battery, and the prediction accuracy of the SOE is improved.

Inventors

ZHAO WENWEN
Hu Dianchong
FANG ZEYU

Assignees

中创新航科技集团股份有限公司

Dates

Publication Date: 20260508
Application Date: 20260210

Claims (13)

1. A method for predicting available discharge energy of a battery, comprising: determining a current temperature, a current state of charge, and a plurality of historical discharge test data of a battery to be predicted in response to a prediction request of available discharge energy, SOE, of the battery; Constructing a first data mapping table among temperature, state of charge and SOE according to the plurality of historical discharge test data; Determining the discharge cut-off temperature of the battery to be predicted according to the current temperature and the current state of charge; And according to the current state of charge and the discharge cutoff temperature, looking up a table from the first data mapping table to obtain the predicted SOE of the battery to be predicted.
2. The method of claim 1, wherein determining a discharge cutoff temperature of the battery to be predicted based on the current temperature and the current state of charge comprises: Determining the current power-on state of the battery to be predicted, wherein the current power-on state is a power-on initial state or a non-power-on initial state; If the current power-on state is the power-on initial state, determining a second data mapping table of the temperature and the temperature rise rate of the battery to be predicted, and determining the discharge cut-off temperature according to the current temperature and the second data mapping table, wherein the second data mapping table is constructed according to uncontrolled temperature discharge test data in the historical discharge test data, and the temperature rise rate is the rate of increase of the temperature of the battery to be predicted relative to the discharge capacity of the battery; And if the current power-on state is a non-power-on initial state, determining a third data mapping table of the temperature and the lower limit window of the state of charge of the battery to be predicted, and determining the discharge cutoff temperature according to the current temperature, the current state of charge and the third data mapping table, wherein the third data mapping table is constructed according to temperature control discharge test data in the historical discharge test data.
3. The method of claim 2, wherein determining the discharge cutoff temperature from the current temperature and the second data map comprises: Determining a first temperature rise from the current state of charge to discharge cutoff of the battery to be predicted according to the current temperature and the second data mapping table; And determining the sum of the current temperature and the first temperature rise as the discharge cutoff temperature.
4. The method of claim 2, wherein determining the discharge cutoff temperature from the current temperature, the current state of charge, and the third data map comprises: determining a plurality of historical temperature rise data of the battery to be predicted; fitting according to the plurality of historical temperature rise data to obtain a temperature rise curve of the battery to be predicted; determining a second temperature rise corresponding to the unit state of charge variable according to the temperature rise curve; And determining the discharge cutoff temperature according to the current temperature, the current state of charge, the second temperature rise and the third data mapping table.
5. The method of claim 4, wherein determining the discharge cutoff temperature based on the current temperature, the current state of charge, the second temperature rise, and the third data map comprises: determining a sum of the current temperature and the second temperature rise as a predicted temperature after passing through the unit state of charge variation; Determining a predicted state of charge lower limit window according to the predicted temperature and the third data mapping table; determining the difference value between the current state of charge and the unit state of charge variation as a predicted state of charge; If the predicted state of charge is less than or equal to the predicted state of charge lower limit window, determining the discharge cutoff temperature according to the predicted temperature; And if the predicted state of charge is greater than the predicted state of charge lower limit window, iteratively updating the predicted temperature, the predicted state of charge and the predicted state of charge lower limit window through a unit state of charge variation until the updated predicted state of charge is less than or equal to the updated predicted state of charge lower limit window, and determining the discharge cutoff temperature according to the updated predicted temperature.
6. The method of claim 5, wherein determining the discharge cutoff temperature from the predicted temperature comprises: If the predicted state of charge is equal to the predicted state of charge lower limit window, determining the predicted temperature as the discharge cutoff temperature; And if the predicted state of charge is smaller than the predicted state of charge lower limit window, determining the discharge cutoff temperature through an interpolation method according to the third data mapping table and the predicted state of charge lower limit window.
7. The method of claim 6, wherein determining the discharge cutoff temperature by interpolation based on the third data map and the predicted state of charge lower limit window comprises: Acquiring the current health degree and the current internal resistance of the battery to be predicted; Determining a mapping table correction coefficient according to the current health degree and the current internal resistance; Correcting the third data mapping table according to the mapping table correction coefficient to obtain a corrected data mapping table; And determining the discharge cutoff temperature through an interpolation method according to the correction data mapping table and the predicted state of charge lower limit window.
8. The method according to any one of claims 1-7, further comprising, after obtaining the predicted SOE of the battery to be predicted from a look-up table in the first data mapping table: Acquiring a discharge working parameter and a real-time temperature of the battery to be predicted; judging whether the battery to be predicted is in a power-down state or not according to the discharging working parameters; if not, acquiring the real-time state of charge of the battery to be predicted; And updating the predicted SOE according to the real-time charge state, the current charge state, the real-time temperature and the predicted temperature.
9. The method of claim 8, wherein updating the predicted SOE based on the real-time state of charge, the current state of charge, the real-time temperature, a predicted temperature comprises: Determining a first difference between the current state of charge and the real-time state of charge; If the first difference value is equal to the unit state of charge variation, determining a second difference value between the real-time temperature and the predicted temperature; and updating the predicted SOE according to the second difference value.
10. The method of claim 9, wherein updating the predicted SOE based on the second difference value comprises: If the absolute value of the second difference value is greater than or equal to a preset threshold value, determining a third temperature rise according to temperature rise data between the real-time state of charge and the current state of charge, and updating the predicted SOE according to the real-time temperature, the real-time state of charge, the third temperature rise, the first data mapping table and the third data mapping table; And if the absolute value of the second difference value is smaller than a preset threshold value, updating the predicted SOE according to the real-time temperature, the real-time state of charge and the first data mapping table.
11. A device for predicting available discharge energy of a battery, comprising: The system comprises an acquisition module, a prediction module and a control module, wherein the acquisition module is used for responding to a prediction request of available discharge energy SOE of a battery and determining the current temperature, the current state of charge and a plurality of historical discharge test data of the battery to be predicted; The construction module is used for constructing a first data mapping table among temperature, state of charge and SOE according to the plurality of historical discharge test data; the prediction module is used for determining the discharge cut-off temperature of the battery to be predicted according to the current temperature and the current state of charge; And the searching module is used for searching a table from the first data mapping table according to the current charge state and the discharge cut-off temperature to obtain the predicted SOE of the battery to be predicted.
12. An electronic device comprising a processor and a memory communicatively coupled to the processor; The memory stores computer-executable instructions; The processor executes computer-executable instructions stored in the memory to implement the method of any one of claims 1-10.
13. A non-transitory computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1-10.

Description

Method and device for predicting available discharge energy of battery, electronic equipment and medium Technical Field The present application relates to the field of battery technologies, and in particular, to a method and apparatus for predicting available discharge energy of a battery, an electronic device, and a medium. Background With the popularization of electric vehicles and the rapid development of new energy technologies, batteries, such as lithium ion batteries, have become reliable energy carriers for power systems of electric vehicles. In the use process of the battery, the battery is monitored through the real-time running state so as to ensure the safety of the battery and improve the service life of the battery. In the related art, in the discharging process of the battery, the Available discharging energy (SOE) of the battery is predicted by a static table look-up method according to the real-time state data of the battery, and a quantization basis is provided for the operation, the scheduling and the safety control of the battery. However, the state of the battery is dynamically changed, and the SOE predicted by the static table look-up method has a problem of low accuracy. Disclosure of Invention The embodiment of the application provides a method, a device, electronic equipment and a medium for predicting available discharge energy of a battery, which are used for improving the prediction accuracy of the available discharge energy. In a first aspect, an embodiment of the present application provides a method for predicting available discharge energy of a battery, where the method includes determining a current temperature, a current state of charge, and a plurality of historical discharge test data of the battery to be predicted in response to a request for predicting available discharge energy SOE of the battery, constructing a first data mapping table between the temperature, the state of charge, and the SOE according to the plurality of historical discharge test data, determining a discharge cutoff temperature of the battery to be predicted according to the current temperature and the current state of charge, and looking up a table from the first data mapping table according to the current state of charge and the discharge cutoff temperature to obtain a predicted SOE of the battery to be predicted. In a second aspect, an embodiment of the application provides a device for predicting available discharge energy of a battery, which comprises an acquisition module, a construction module, a prediction module and a search module, wherein the acquisition module is used for responding to a prediction request of the available discharge energy SOE of the battery, determining the current temperature, the current state of charge and a plurality of historical discharge test data of the battery to be predicted, the construction module is used for constructing a first data mapping table among the temperature, the state of charge and the SOE according to the historical discharge test data, the prediction module is used for determining the discharge cut-off temperature of the battery to be predicted according to the current temperature and the current state of charge, and the discharge cut-off temperature, and the search module is used for searching a table from the first data mapping table according to the current state of charge and the discharge cut-off temperature, so that the predicted SOE of the battery to be predicted is obtained. In a third aspect, an embodiment of the present application provides a prediction apparatus for available discharge energy of a battery, including a memory, a processor; The memory stores computer-executable instructions; the processor executes computer-executable instructions stored by the memory such that the processor performs the various possible implementations of the first aspect and/or the first aspect as described above. In a fourth aspect, embodiments of the present application provide a non-volatile computer-readable storage medium having stored therein computer-executable instructions which, when executed by a processor, are adapted to carry out the various possible implementations of the above first aspect and/or the first aspect. In a fifth aspect, embodiments of the present application provide a computer program product comprising a computer program which, when executed by a processor, implements the various possible implementations of the above first aspect and/or the first aspect. The method for predicting the available discharge energy of the battery, the device, the electronic equipment and the medium comprise the steps of responding to a prediction request of the available discharge energy SOE of the battery, determining the current temperature, the current state of charge and a plurality of historical discharge test data of the battery to be predicted, constructing a first data mapping table among the temperature, the state of charge and the SOE a