Design and Application of Power Lithium-Ion Battery Management System: from the Perspective of System Optimization

• Published in: 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) pp. 1579 - 1582
• Main Authors: Hu, Yinquan, Liu, Heping
• Format: Conference Proceeding
• Language: English
• Published: IEEE 23-02-2022
• Subjects: Battery Management System; Design and Application; Fault detection; Heating systems; Lithium-ion batteries; Power Lithium-Ion; Reliability engineering; Robustness; Safety; System optimization; Voltage
• DOI: 10.1109/ICAIS53314.2022.9742747

In this paper, facing the key technical bottlenecks faced by the development of BMS industrialization, a series of management theories and technologies has been researched and developed for the vehicle-mounted power battery pack modeling, estimation, equilibrium, and heating, aiming at lithium-ion batteries with steep ends and flatness. Linear voltage characteristics, it is difficult to solve the contradiction between model accuracy and practicability using traditional fixed structure model. First, a variable integer order RC equivalent circuit model based on the AIC criterion is proposed. The high-order RC model is used in the exponential area where the battery voltage changes sharply to ensure the accuracy of the model. The maximum estimation error is less than 1.2%, which has good convergence and robustness.