Shanghai Makesens Energy Storage Technology Co., Ltd. (20240289413). METHOD AND APPARATUS FOR IDENTIFYING PARAMETER OF BATTERY MODEL, AND ELECTRONIC DEVICE simplified abstract

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METHOD AND APPARATUS FOR IDENTIFYING PARAMETER OF BATTERY MODEL, AND ELECTRONIC DEVICE

Organization Name

Shanghai Makesens Energy Storage Technology Co., Ltd.

Inventor(s)

Xiaohua Chen of Shanghai (CN)

Zhimin Zhou of Shanghai (CN)

Qiong Wei of Shanghai (CN)

Xiao Yan of Shanghai (CN)

Enhai Zhao of Shanghai (CN)

Pingchao Hao of Shanghai (CN)

Zhou Yang of Shanghai (CN)

METHOD AND APPARATUS FOR IDENTIFYING PARAMETER OF BATTERY MODEL, AND ELECTRONIC DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240289413 titled 'METHOD AND APPARATUS FOR IDENTIFYING PARAMETER OF BATTERY MODEL, AND ELECTRONIC DEVICE

Simplified Explanation: The patent application describes a method and apparatus for identifying parameters of a battery model using an electrochemical model.

Key Features and Innovation:

  • Obtaining parameters from an electrochemical model to form individuals
  • Calculating fitness for each individual
  • Determining a cell parameter if fitness is below a threshold
  • Sorting individuals based on fitness
  • Updating sub-individuals obtained from partition
  • Comparing first and second fitness to retain the best individual

Potential Applications: This technology can be used in battery management systems, electric vehicles, renewable energy storage systems, and portable electronic devices.

Problems Solved: This technology addresses the challenge of accurately identifying parameters of a battery model for efficient performance and management.

Benefits:

  • Improved accuracy in identifying battery parameters
  • Enhanced performance and efficiency of battery systems
  • Better management of battery health and lifespan

Commercial Applications: The technology can be applied in the development of smart batteries, energy storage solutions for grid systems, and optimization of battery-powered devices in various industries.

Prior Art: Researchers can explore prior studies on battery modeling, parameter identification methods, and optimization techniques in the field of electrochemistry.

Frequently Updated Research: Stay updated on advancements in battery modeling, machine learning algorithms for parameter identification, and innovations in battery management systems.

Questions about Battery Parameter Identification: 1. What are the potential challenges in accurately identifying parameters of a battery model? 2. How does this technology contribute to the efficiency and performance of battery systems?


Original Abstract Submitted

provided are a method and an apparatus for identifying a parameter of a battery model, an electronic device, and a storage medium. the method includes: obtaining to-be-identified parameters from an electrochemical model to form individuals; calculating a first fitness for each individual; determining a cell parameter if any individual has a first fitness less than a fitness threshold; sorting the individuals in an ascending order based on magnitudes of the first fitness, and partition the individuals into two parts in a case that each individual has a first fitness greater than or equal to the fitness threshold; updating to sub-individuals obtained from partition; calculating a second fitness for each individual, compare the second fitness with the first fitness, and retain an individual having a smaller fitness; and terminates if a fitness of the retained individual is less than the fitness threshold.