Research On Equivalent Fuel Consumption Minimization Strategy Of Parallel Hybrid Electric Vehicle

The energy management strategy is a key technology of hybrid electric vehicle,the action of the controller directly affects the performance of the vehicle.The instantaneous optimal control strategy with great engineering significance is selected in this paper.However,the disadvantages of the current control strategy are also obvious,single adaptive working condition and poor real-time performance.In this paper,the traditional instantaneous energy management strategy is further studied and optimized by combining Ant colony algorithm(ACA)and continuous generalized minimal residual method(Continuation/GMRES,C/GMRES).The main research object of this paper is Parallel Hybrid Electric Vehicle(PHEV).Based on the instantaneous energy control theory,the ant colony algorithm is used to optimize the charging and discharging equivalent factor and C/GMRES is used for real-time calculation of equivalent fuel consumption.The following tasks have been completed:(1)According to the kinematics and dynamics characteristics of hybrid electric vehicles,the mathematical models of the whole vehicle,the engine,the motor,the wheels and other components have been established.Then,the ADVISOR simulation software have been used to build the simulation models of each component and conduct simulation verification.(2)Based on the four work modes of a hybrid car,motor drive,engine drive alone,alone hybrid drive and motor drive and power generation,the Equivalent Fuel Consumption Minimization Strategy(ECMS)is designed,and then combined logic threshold control Strategy and ECMS,modified ECMS control Strategy is established.The simulation results show that the efficiency of engine and motor can be controlled as much as possible under the condition of ensuring fuel economy.(3)In view of the different charge and discharge equivalent factor under different working condition,the ant colony optimization algorithm is adopted to charge and discharge equivalent factor in the off-line optimization,and in view of the basic ant colony algorithm is of slow convergence speed,easy to fall into local optimum defect is improved,the simulation results show that the modified ECMS based on ant colony algorithm that improved ECMS fuel consumption was lower than the basic ECMS.(4)For the real-time problem of fuel consumption calculation,in order to reduce in solving the computation burden that the Pontryagin minimum conditions to solve the Minimal equivalent fuel consumption brought,combined Continuation Method with GMRES,a continuous generalized minimal residual Method(Continuation/GMRES,C/GMRES)has been proposed.the simulation results show that the computation time and precision have a great improvement.