Research on energy management of model predictive control based on fuzzy control algorithm optimization

To further improve the efficiency of energy management strategy for heavy-duty Hybrid Electric Vehicle (HEV), taking distributed electric drive heavy-duty Hybrid Electric Vehicle (HEV) as the research object, an energy management strategy combining fuzzy control algorithm and model predictive control (MPC) was proposed, and the length of prediction time domain was optimized by fuzzy algorithm. Simulation results showed that, compared with the fixed time domain model predictive energy management strategy under CHTC-TT working condition, The average time of iteration of the energy management strategy is reduced by about 22.7%, and the fuel consumption per 100 km is reduced by about 2.3%.