Integrated Deep Reinforcement Learning Framework for Adaptive PI Control and Multi-Objective Energy Management in Electric Vehicle Powertrains
An integrated deep reinforcement learning (DRL) strategy in which a single Twin Delayed Deep Deterministic Policy Gradient (TD3) agent simultaneously adjusts the proportional and integral gains of the speed controller, the torque modulation coefficient (Ks), and the regenerative braking factor (βreg) is proposed.