Optimal operation strategy development for fuel cell hybrid vehicle

Abstract

An overall simulation model for fuel cell hybrid vehicle (FCHV) power train in parallel configuration using MATLAB/Simulink programming is constructed in this study. The model runs on power control strategy by using logic-threshold approach, achieved by the hybrid control unit (HCU) and fuel cell stack number. Using accelerator and decelerator pedal positions deduced from the driving schedule as the primary input, the simulation implements power flow and distribution under different vehicle operating modes. The HCU control strategy also incorporates regenerative braking and recharge for battery capacity recovery. Using the D-optimality method for experiment points selection and sequential quadratic programming (SQP) algorithm for obtaining the optimal operational parameters, three control threshold variables of HCU and optimal stack cell number are selected for hydrogen fuel economy under certain driving cycles. The proposed method provides optimized configurations of the FCHV model and the fuel cell stack, which has the capability in satisfying drive power request while satisfying vehicle driving schedule and battery state of charge (SOC) recovery with lower fuel consumption.

Study on powertrain system for CNG-electric hybrid city bus

“…According to vehicle real-time conditions, vehicle control strategy can compute the driving force and power. According to internal combustion engine, motor/generator, transmission and battery pack conditions, vehicle control strategy can choose a reasonable operation mode and transmission gear speed, in order to optimize the output torque [12,13]. All kinds of operating mode control strategy are as follows: ① Internal combustion engine start CNG-electric hybrid city bus adopts parallel powertrain system.…”