A battery capacity life assessment prediction method, system, device and medium
Published in Chinese invention patent publication, 2025
Application number: 202411532677.X
Application date: 2024-10-30
Publication number: CN119577404A
Publication date: 2025-03-07
Applicant(s): South China University of Technology; Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou)
Inventors: Shiqi Ou; Hao Jing; Jianheng Ouyang; Jiayi Wang; Haifeng Guo; Jiankuan Zhu; Zhenhong Lin
Main classification: G06F18/213
Abstract
This invention relates to the field of new energy vehicles and discloses a method, system, apparatus, and medium for assessing and predicting battery capacity life. The method includes collecting monitoring data from an electric vehicle; preprocessing the monitoring data and extracting features and labels; establishing and training an LSTM model; and building an energy model for the electric vehicle powertrain. The energy model is used to calculate vehicle energy consumption and the feature inputs for the LSTM battery-life model, thereby integrating the two models.
By combining the data-driven battery-life model with the electric vehicle powertrain energy model, the method varies driver-operation factors and calculates different inputs for the LSTM battery-life model. The LSTM model then calculates battery capacity life, enabling rapid and accurate prediction and assessment of how different driver behaviors affect electric-vehicle battery life and energy consumption.
Recommended citation: Ou, S., Jing, H., Ouyang, J., Wang, J., Guo, H., Zhu, J., & Lin, Z. (2025). "A battery capacity life assessment prediction method, system, device and medium." Chinese invention patent publication CN119577404A.