Shanghai Makesens Energy Storage Technology Co., Ltd.

Haowen Ren

Xiao Yan

Enhai Zhao

Peng Ding

Guopeng Zhou

Weikun Wu

Zonglin Cai

Xiaohua Chen

Wei Song

Pingchao Hao

Pei Song

Danfei Gu

Yuan Feng

Yanwen Zhang

Decheng Wang

The invention discloses a method, a system, a device, and a medium for detecting a battery state of health. The method includes extracting a target curve segment from a first charging characteristic curve of a battery under test; and determining, according to a corresponding relation between characteristic parameters of the target curve segment and the battery state of health, the battery state of health matching the characteristic parameters of the target curve segment, and determining the battery state of health as the battery state of health of the battery under test. By utilizing said corresponding relation as the calculation basis, the invention improves the reliability and accuracy of the detection of battery state of health detection. The invention also tracks instances of abusive conditions that accelerate battery aging, assessing whether such conditions accelerate battery degradation and issuing warnings accordingly.

Method, system, device and medium for detecting battery state of health

A method and a device for forecasting an electric load, an electronic device, and a computer-readable storage medium are provided. The method includes: acquiring historical load data prior to a forecast date; generating a load sequence based on the historical load data; performing variational mode decomposition on the load sequence, to obtain multiple intrinsic mode components and a residual that are corresponding to the load sequence; and inputting the multiple intrinsic mode components and the residual into respective forecasting models, and determining a load value on the forecast date based on forecasting results of all the forecasting models.

Method and device for forecasting electric load, and electronic device

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Shanghai, China

Haowen Ren