Adaptive Model Predictive Control for Battery Ther-Mal Management for Electric Vehicles

This work focuses on addressing the crucial challenge of battery thermal management in electric vehicles. The goal is to develop an adaptive Model Predictive Control (MPC) strategy that combines predictive power with adaptability to varying dynamics. By formulating the control problem, linearizing the thermal model, and simulating adaptive MPC, the study demonstrates successful temperature control. Simulation results using real driving cycles confirm the controller's effectiveness in controlling the battery temperature. This advancement will contribute to improved bat-tery performance and longevity for future work, thereby enhancing overall vehicle efflciency.