Research On Hybrid Power System For Plug-in Hybrid Electric Vehicle

The requirements of energy story system for plug-in electric vehicle are high efficiency, huge energy capacity, high power and long cycle life, which meet the demand of long all-electric range, good dynamic performance and energy economical efficiency. The performance of energy source device with battery only system doesn’t meet the need of electric vehicle well, because of the low ration of power to energy. Based on the analysis of the performance of existing electrical storage unite and the desire of electric vehicle, the hybrid power system which contains ultra-capacitor and battery, allowing the power battery and ultra-capacitor complementary to develop the advantages of high specific energy of power battery and high specific power of ultracapacitor was put forward. The dissertation mainly focuses on matching and control strategy of the hybrid power system in PHEV, and a driver-in-the-loop performance test. The research work is summarized as follows:Research on the parameters matching for hybrid power system. After determining the topology of the hybrid power system, according to the technical requirements of the vehicle, and the peak power and average power form the Chinese typical urban cycle, get the needs of energy and power for PHEV. From the point of view of energy and power supply match the components of the battery and capacitor in series monuments.Reseach on the power allocation strategy of hybrid power system. The power allocation strategy based on cycle average power for fuel consumption is reduce overall by 3.4% compared to the single power system. The power allocation strategy with four-factor is put forward is based on modeling the power system, precise control variables, and compared to the former, fuel consumption has decreased 3.15%.Verify the driver-in-the-loop performance test. To research the hybrid power system performance, Build a semi-physical simulation platform based on the prototype controller MicroAutoBox, CANoe and driver simulator. Testbed fully into account the real driver factors during driving to make the results closer to the actual situation. The results show that the driver can be tracked cycling velocity well, and the batteries, and ultra-capacitors SOC are similar to the offline simulation results.