Title:
METHOD AND APPARATUS FOR PREDICTING STATE OF HEALTH OF ENERGY STORAGE BATTERY, AND INTELLIGENT TERMINAL
Document Type and Number:
WIPO Patent Application WO/2024/077754
Kind Code:
A1
Abstract:
A method and apparatus for predicting a state of health of an energy storage battery, and an intelligent terminal. The method comprises: acquiring the current operation state data and the current battery state-of-health value of an energy storage battery; calculating operation state offset data according to preset standard operation state data and the current operation state data; according to the current operation state data, the operation state offset data and the current battery state-of-health value, predicting a state of health of the energy storage battery by means of a trained energy storage battery state-of-health prediction model, and obtaining a predicted battery state-of-health value of the energy storage battery at a target prediction moment, wherein the target prediction moment is the next moment of the current moment, the energy storage battery state-of-health prediction model comprises a first prediction sub-model and a second prediction sub-model, and different training optimization algorithms are used for the first prediction sub-model and the second prediction sub-model during model training. Therefore, it is conducive to obtaining a predicted state-of-health value of an energy storage battery.
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Inventors:
GUO YUANJUN (CN)
ZHOU BANGYU (CN)
YANG ZHILE (CN)
HU TIANYU (CN)
AN ZHAO (CN)
ZHOU BANGYU (CN)
YANG ZHILE (CN)
HU TIANYU (CN)
AN ZHAO (CN)
Application Number:
PCT/CN2022/137738
Publication Date:
April 18, 2024
Filing Date:
December 08, 2022
Export Citation:
Assignee:
SHENZHEN INST ADV TECH (CN)
International Classes:
G01R31/367; G01R31/392; G06F30/27
Domestic Patent References:
WO2022161002A1 | 2022-08-04 |
Foreign References:
CN115291116A | 2022-11-04 | |||
CN113015918A | 2021-06-22 | |||
FR3118310A1 | 2022-06-24 | |||
CN113064093A | 2021-07-02 | |||
CN113391209A | 2021-09-14 |
Attorney, Agent or Firm:
BEIJING ZHONG XUN TONG DA INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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