Energy Management Strategy of Fuel Cell Electric Vehicles Using Model-Based Reinforcement Learning With Data-Driven Model Update

Fuel cell electric vehicles use fuel cells as their main power source; the vehicle is driven by an electric motor, and have an electric battery as a secondary power source that stores regenerative braking energy and assists driving. To reduce the hydrogen fuel consumption by using these fuel cells and electric batteries efficiently, an energy management strategy is needed for the proper distribution of power among them. In this study, model-based reinforcement learning was utilized for energy management. For the optimal control of a fuel-cell electric vehicle, reinforcement learning is conducted using an internal vehicle powertrain model in the learning algorithm; initially, the model is completely unknown, but the model is learned with data from experiences as the learning process progresses. Then, reinforcement learning is conducted for the environment of the driving cycle profile to o…