The Study Of Parameter Matching And Control Strategy For PHEV Based On The Cost Analysis

In recent years, with the increase of car ownership, the problems of energy shortage and environmental pollution has become increasingly apparent, plug-in hybrid electric vehicle(PHEV), as a new energy-saving vehicle models emerged. Compared with the traditional vehicles, PHEV mainly adds some power components like battery, motor and so on, followed by the increased manufacturing cost to a great extent, which restricts its development process. On the other hand, how to make full use of cheap electricity better play the energy saving effect of PHEV and reduce its using cost also become the key factors affecting the market. The parameter matching and control strategy as two key technologies in the development of PHEV, which closely related to the power components’ manufacturing costs and using costs. In order to maximize the energy saving potential of PHEV, expand its market influence, this paper analyzes the parameter matching and control strategy based on the PHEV manufacturing cost and using cost.First, in this paper, a powertrain of single-axle parallel PHEV was selected as the research object, the powertrain optimization design method based on power components’ manufacturing costs and quality function and using cost was determined. According to different design requirements of all-electric range(AER), a powertrain parameters matching scheme of PHEV was conducted. Then, based on the Simulink software, the PHEV vehicle simulation models was built. And with the help of dynamic programming algorithm for global optimization, the general variation law of energy management control parameters were analyzed. In order to guarantee the real-time capability and effectiveness of PHEV control algorithm, and further optimize the vehicle using cost, the aforementioned variation of control parameters was combined with engine and motor parameters to develop PHEV fuzzy logic control strategy which consider the future driving distance. Finally, co-simulations of PHEV vehicle Cruise models and control strategy simulink models were conducted, which verify the parameters matching and control strategy whether meet the design requirements. And in view of the simulation results of “charge depleted – charge sustain” control strategy, fuzzy logic control strategy and dynamic programming algorithm were compared to analyze.For improving energy saving and reducing vehicle costs, the developed PHEV parameter matching and control strategy scheme in this paper based on the cost analysis has a good optimization results.