A tolerant sequential predictive energy management strategy for the platoon hybrid electric vehicle with the distributed driving optimization

This paper presents a new tolerant sequential predictive energy management strategy for the platoon hybrid electric vehicle (HEV) to accomplish the hierarchy optimization of riding safety, comfort and fuel economy. The distributed sampling strategy is employed to obtain some speed trajectories for each HEV and the active safety pruning method is adopted to eliminate the speed profile with insufficient safety distance in the priority level. The several sub-optimal speed trajectories would be next selected from safe speed trajectory with evaluating driving comfort. By employed a tolerant sequential method, the new designed double-variable PMP solver, to enhance multi-variable computation efficiency, in model predictive control (MPC) could optimize power distribution and gearshift event with iterating to select sub-optimal speed profile as input. The best velocity trajectory set with correspondingly optimal power distribution and gearshift action for platoon HEV would be gained simultaneously. Numerical simulations demonstrate that the proposed tolerant sequential MPC has achieve more comfortable driving speed profile set, improved at least 8 % fuel economy and decreased over 70 % gearshift event with almost 50 % computational burden relative to traditional MPC strategy, which could display great potential of practical implementation for the platoon HEV.