Integrated Optimal Control for Fast Charging and Active Thermal Management of Lithium-Ion Batteries in Extreme Ambient Temperatures
arxiv(2024)
摘要
This paper presents an integrated control strategy for fast charging and
active thermal management of Lithium-ion batteries in extreme ambient
temperatures. A control-oriented thermal-NDC (nonlinear double-capacitor)
battery model is proposed to describe the electrical and thermal dynamics,
accounting for the impact from both an active thermal source and ambient
temperature. A state-feedback model predictive control algorithm is then
developed for integrated 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 to
enhance fast charging. Additionally, an output-feedback model predictive
control algorithm with an extended Kalman filter is proposed for battery
charging when states are partially measurable. Numerical experiments validate
the effectiveness under extreme temperatures.
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