Research On Control Strategy And Matching Of Sphev

Quading a part of HEV auto program co-developed by China Automotive Technology & Research Center and JILI, in this paper firstly we describe the domestic and abroad research situations and trends of HEV , discuss the existing simulation technology for HEV, and put forward the development aims for full auto of JL-HEV. Considering the domestic technology development trend of HEV auto, based on demand analysis of JL-HEV auto, we determine the ultimate structures of full auto, then analyze and discuss the power-flow under each work condition and mode. According to the demand of series parallel system, raise the control strategy for the energy manage and prospective aims of full auto, then determine the control strategy that adopts the optimal work curve of engine. Then we study the simulation software PSAT, based on that take the second exploit towards the software and on the basis of MATLAB/SIMULINK we establish the intangible control driver's model then put it into the PSAT, comparing to the former PI control model, it increases the emulational precision.Based on the basic theoretical analysis and sum-up of correlative information, we raise the parameters' design methods for power system of series parallel HEV which are adopted to match and analyze the power system's parameters for JL-HEV full auto. Aiming at the parameters of parts of the power system, we take the proper choice and matching, put up a set of effective methods that can preliminary match the parameters of hybrid power system. We emphasize on the research of the power allocation, analyze the possible configurations, the dynamic theory among each part and the work principles under each work condition.Then we establish the demand model for each part of the full auto, simulate the final model and analyze the performance. The result shows that the full auto's performances meet the demand of the development aims, and the oil expense is mush lower than former auto, and battery SOC can fluctuate within the control range, then analyze the allocation speciality of the power torsion and research the distribution of the engine work spots.Finally we research the factors that effect the hybrid power efficiency, and establish the full auto emulational models of different mix, then compare the full auto's efficiency under the same work conditions. For the auto mentioned in the paper, we analyze and establish the dynamic equations under different power systems, respectively discuss the system efficiency of HEV under the conditions of whether the storage battery power is zero or not, utilize the SQP to compute the corresponding optimal decelerating rate and optimal storage battery power under the conditions of different speeds, different demand torsions and different storage battery SOC; then use the optimal computation results to summarize the rules of auto optimal control, provide the foundations for the optimal control rules in the future.