Jinke Gong

An investigation on energy regeneration in a CFA6470 parallel hybrid electric vehicle using fuzzy logic

The energy regenerative braking system (ERBS) of the CFA6470 parallel hybrid electric vehicle (CFA6470PHEV) has been designed using the T-S fuzzy model and fuzzy control toolbox in the MATLAB. The inputs and outputs of the system, along with their membership functions, are reported. The T-S fuzzy model is established for the system and the fuzzy inference system (FIS) is also established. The simulation results indicate that, in the course of driving, the braking torque provided by the electrical motor is controlled in the region that the electrical motor permits, the mechanical braking torque can reach a high value, and the results are consistent with the model.

An investigation on energy optimisation of the CFA6470 parallel hybrid electric vehicle

The hybrid ratio of a parallel hybrid electric vehicle (PHEV) and its energy management strategy are analysed. On the basis of the drivetrain configuration of the CFA6470 parallel hybrid electric vehicle (CFA6470PHEV), the energy management system of the CFA6470PHEV is designed. The optimisation of the engine throttle angle and vehicle shift, along with the mild hybrid and full hybrid strategy are also studied. An energy balance method is introduced to estimate the state of charge for the battery pack. The energy management system is simulated with the experimental data of the engine and ECE-EUDC cycles. Simulation results indicate that the energy management system is feasible and achieve the anticipated goal.