Study On Software Redevelopment And Application For HEV With Multiple Energy Sources Based On ADVISOR

Facing the challenges of both energy shortage and environment contamination, governments and automobile corporations have paid great attention to the development of new energy resources vehicles. Hybrid electric vehicle, which integrates the advantages of both gasoline vehicles and pure electric vehicles, has been on the list of the 863 high-tech program in the tenth five-year plan, therefore it's of grate significance in studying the key technologies of HEV. At present, battery is usually used as the vehicle-mounted power source in HEV due to its stable performance characteristic. However, its disadvantages of insufficient power can hardly satisfy the requirements of acceleration performance, gradeability, cruising range, and energy recovery. The ultracapacitor, which has the advantages of high specific power, long cycle life, large instantaneous discharge current and short charging time, can well compensate the weakness of battery. Hence, it is a feasible approach to combine battery with ultracapacitor into hybrid power system. Battery can satisfy the average power and ultracapacitor provides peak power, this combination can take advantage of the two electric energy sources to enhance the dynamic performance and economic performance. Hybrid power system has become an important content among the key technologies of hybrid electric vehicles.In this thesis, we concentrate on the key technologies of hybrid electric vehicle with multi-energy hybrid power system. Firstly, the working principle and characteristic of the commonly used power sources are analyzed and the structure of the ultracapacitor-battery hybrid power system is studied. At the same time, the circuit structure of the main loop is designed and the working state is analyzed in detail. Secondly, a fuzzy logic based DC-DC controller is designed to solve the energy management problem of HEV, and the fuzzy control strategy for the hybrid energy management system is also proposed, the simulation is carried out in the aspect of economic performance, dynamic performance and energy efficiency to validate the effectiveness of the proposed controller. Finally, the parameter match algorithm is studied and ADVISOR simulation platform is redeveloped to satisfy the requirement of HEV with hybrid electric energy source. The redeveloped simulation software with friendly interface overcomes the disadvantage of not being suitable for the simulation of HEV with hybrid electric source. The performance of the proposed control strategy is simulated under typical driving cycle, the simulation results illustrate that both the economic performance and dynamic performance of HEV are improved.