Shanghai Makesens Energy Storage Technology Co., Ltd.

Shanghai Volta Institute of Digital Battery Energy Storage

Enhai Zhao

Xiao Yan

Xiaohua Chen

Pingchao Hao

Pei Song

Guopeng Zhou

Peng Ding

Weikun Wu

Zonglin Cai

Danfei Gu

Jian Zhao

Haowen Ren

Wei Song

Zhou Yang

Yuan Feng

Zhimin Zhou

Decheng Wang

Yan Ma

Yunkai Wu

Mingchen Jiang

Qiong Wei

Yanwen Zhang

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 hot-plugging edge computing system includes at least an elastic database, a data processing module, and hot-plugging computing modules. The elastic database is configured to store data through an SSD array with a configurable number of SSDs. The data processing module is connected to the elastic database and each of the hot-plugging computing modules, and controls data storage in the elastic database, monitors and assigns a task to each of the hot-plugging computing modules. Each of the hot-plugging computing modules performs data computing based on the corresponding task assigned by the data processing module, and returns a computing result to the corresponding data processing module.

Hot-plugging edge computing terminal hardware architecture and system

A battery overheat warning method, a battery overheat warning system, a storage medium, and an electronic device are provided. The battery overheat warning method comprises: obtaining working condition parameters and geometric parameters of a battery; obtaining a theoretical temperature of a target position in the battery based on the working condition parameters and the geometric parameters of the battery; obtaining an actual temperature of the target position in the battery by using a temperature transducer; and sending an overheat warning signal based on the theoretical temperature and the actual temperature of the target position in the battery. The battery overheat warning method has relatively high timeliness and accuracy.

Method for warning battery overheat

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, an apparatus and a device for identifying battery parameters, and a storage medium are provided. The method includes: determining to-be-identified parameters of the battery and determining an initial population; performing a screening step with the initial population as a current population: for at least part of individuals in the current population, updating positions of the individuals in the current population through local optimization and generating corresponding first individuals, and updating the positions of the individuals in the current population through Levy flight and generating corresponding second individuals; selecting an optimal individual according to fitness of the individuals in the current population and the corresponding first individuals and the corresponding second individuals, as an individual in the next generation population; repeating the above screening step until a termination condition is met, to obtain a final population; and determining the to-be-identified parameters included in the optimal individual in the final population as the parameters of the battery. With the method, the apparatus and the device for identifying battery parameters and the storage medium, the speed of parameter identification is effectively improved.

Method, apparatus and device for identifying battery parameters and storage medium

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

An ASIC chip for performing active battery equalization is provided. The ASIC chip for performing active battery equalization includes: a power conversion module, an equalization switch matrix circuit module comprising a power MOS transistor, a switch control module, a temperature protection module, and a communication interface module. By connecting and controlling the above modules, the equalization switch matrix circuit module performs equalization on a battery in the battery pack. That is, the use of the integrated ASIC chip accelerates and facilitates the BMS solution manufacturers adding the active equalization function, and facilitates the BMS Battery management system effectively improving the service performance and life of lithium batteries.

ASIC chip for performing active battery equalization

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Shanghai, China

Enhai Zhao