Multi-objective energy management strategy for fuel cell hybrid electric vehicle based on stochastic model predictive control.

The fuel cell hybrid electric vehicle (FCHEV) has earned great interest among the automotive industry in recent years. However, the power allocation strategy between proton exchange membrane fuel cell (PEMFC) and lithium-ion battery remains a technological challenge. To conquer this problem, a multi-objective predictive energy management strategy (EMS) based on model predictive control (MPC) is proposed in this paper, combined with velocity forecast and driving pattern recognition. The comparative study is conducted to reveal the interaction between each optimization objectives. Simulation results illustrate that the proposed EMS could maintain SOC around reference, reduce fuel consumption by 6.67%, and avoid PEMFC degradation which caused by frequent start-off and rapid load change. • Velocity forecast further improves fuel economy. • Three optimization objectives are considered. • The hydrogen consumption is promoted by over 3% compared with traditional non-forecast EMS. • The effectiveness of proposed method is validated by simulations. [ABSTRACT FROM AUTHOR]