Powertrain Parameters Design And Control Strategy Research For Solar-Assited Hybrid Electric Recreational Vehicle

In recent years, under the background of energy crisis, environmental crisis, and rapid development of the RV market, more and more domestic and foreign enterprise begin to focus on the development of new energy RV. As research on hybrid technology by companies at home and abroad matures, solar-assisted HERV(hybrid electric recreational vehicle) which uses solar energy as the auxiliary power comes into being. Solar-assisted HERV is a kind of car that increases solar cells as auxiliary power together with battery on the basis of traditional petrol-electric hybrid powertrain. It has the characteristics of high efficiency and energy saving, achieving the purpose of protecting the environment and alleviating energy crisis, at the same time meeting the consumption demand for RV.This paper focuses on doing parameter matching of powertrain and controling strategy research on solar-assisted HERV.Choose solar-assisted HERV’s structure and determine its powertrain’s program, analyze its powertrain’s composition and select the key components of its powertrain. Matching parameters of the key components including engine, motor, mechanical transmission structure, battery and solar battery according to driving conditions, vehicle’s basic parameters and dynamic index. Put matching results into ADVISOR software performance to verify the rationality of matching and use the Auto-size module to optimize parameters of matching. Then put parameters before and after optimized into the ADVISOR software to do performance simulation analysis. Drive and brake fuzzy control strategy are generated according to the principle of solar-assisted HERV’s control strategy. By importing fuzzy control strategy into ADVISOR’s vehicle model, doing simulation analysis comparing with motor assisted control strategy. In addition, solar-assisted HERV’s vehicle controller hardware are designed including vehicle controller MCU chip minimum system, CAN communication module and signal acquisition module circuit.Performance simulation results meet the requirements of dynamic indexes, and parameters matching is reasonable. By optimizing the performance before and after the simulation analysis, it can be found that performance optimization goal 0 to 50 km/h speed time decreased by 2.6%, economic optimization goal hundred kilometers fuel consumption by 4.5%. All in all, the optimization gets to a certain extent to improve the performance of the vehicle. It can be found through the simulation analysis: the battery SOC maintains between 0.6 and 0.7 when using fuzzy control strategy; motor output power of fuzzy control is absolutely far greater than motor assisted control when braking, motor’s recovery braking energy of fuzzy control is much higher than that of motor assisted control; motor output torque and engine output torque of fuzzy control are also significantly higher than motor power control. Solar cell output energy takes 5.1% of battery output energy and solar cell output’s sum, which shows solar cell has the effect of auxiliary.