Reinforcement Learning Based Energy Management in Hybrid Electric Vehicle

Electric vehicles are clean alternatives to traditional vehicles. Fuel cell and lead-acid batteries are the two sources considered for electric vehicle energy management in this paper. Designing of efficient control system algorithm for electric vehicles is the key to long lasting life of the sources. In this paper, simulation of reinforcement learning algorithm and also hardware implementation of energy management algorithm is implemented by nvidia's JETSON TX2 reinforcement algorithm.