Liangmo Wang

Collaborative optimization of car-following control and energy management for PHEBs based on deep reinforcement learning

Simulation results demonstrate that, compared to the traditional hierarchical optimization framework, the proposed strategy achieves significant improvements in terms of mean absolute jerk, root-mean-square (RMS) value of acceleration, power demand, battery SOH degradation, battery temperature violation, and comprehensive operating cost.