Shanghai Makesens Energy Storage Technology Co., Ltd.

Weikun Wu

Xiao Yan

Enhai Zhao

Peng Ding

Xiaohua Chen

Pingchao Hao

Pei Song

Guopeng Zhou

Danfei Gu

Zonglin Cai

Haowen Ren

Wei Song

Yuan Feng

Mingchen Jiang

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

The invention provides methods, devices and non-transitory tangible computer-readable storage media for estimating a state of charge of a battery and extracting a charging curve of the battery. The method for estimating the state of charge of the battery includes estimating a first state of charge of the battery; determining a charging curve that conforms to the present charging scenario, wherein the present charging scenario is characterized by at least one of parameters including an ambient temperature, a charging rate, an internal resistance, a state of health, a lifespan, and an open circuit voltage of the battery; and correcting the first state of charge according to the charging curve to obtain a final state of charge of the battery.

Methods and devices for estimating state of charge of battery, and extracting charging curve of battery

A method for establishing an electrochemical model for an ion battery is provided. The ion battery includes a negative electrode region, a positive electrode region, and a diaphragm arranged between the negative electrode region and the positive electrode region. The negative electrode region includes a negative electrode current collector, a negative electrode liquid phase and a negative electrode solid phase. The positive electrode region includes a positive electrode current collector, a positive electrode liquid phase and a positive electrode solid phase. The method includes: defining negative electrode parameters for describing a solid-liquid interface structure between the negative electrode liquid phase and the negative electrode solid phase in the negative electrode region and positive electrode parameters for describing a solid-liquid interface structure between the positive electrode liquid phase and the positive electrode solid phase in the positive electrode region; establishing a partial differential equation set and a boundary condition for describing a charging process and a discharging process of the ion battery based on the negative electrode parameters and the positive electrode parameters; and solving the partial differential equation set to establish the electrochemical model for the ion battery. Each of the solid-liquid interface structure in the negative electrode region and the solid-liquid interface structure in the positive electrode region is a folded structure, and includes multiple repeated folded substructures.

Method for establishing electrochemical model for ion battery

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

Weikun Wu