Integrated Optimal Fast Charging and Active Thermal Management of Lithium-Ion Batteries in Extreme Ambient Temperatures
Year: 2024
Type: article
Abstract: This article presents an integrated control strategy for optimal fast charging and active thermal management of lithium-ion batteries (LiBs) in extreme ambient temperatures, striking a balance between charging speed and battery health. A control-oriented thermal-nonlinear double-capacitor (NDC) battery model is proposed to describe the electrical and thermal dynamics, incorporating the effects of both an active thermal source and ambient temperature. A state-feedback model predictive control (MPC) algorithm is then developed for optimal fast charging and active thermal management. Numerical experiments validate the algorithm under extreme temperatures, showing that the proposed algorithm can energy-efficiently adjust the battery temperature, thereby balancing charging speed and battery health. In addition, an output-feedback MPC algorithm with an extended Kalman filter (EKF) is proposed for battery charging when states are partially measurable. Numerical experiments validate the effectiveness under extreme temperatures.
Authors: Zehui Lu, Hao Tu, Huazhen Fang, Yebin Wang, Shaoshuai Mou
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4404562831