Eenergy economy torque distribution strategy for an intelligent plug-in hybrid propulsion system

This thesis aims at developing a torque distribution strategy for an intelligent plug-in hybrid electric vehicles using Telematics. This research proposes two different kinds of control structure. The fisrt one is similar to traditional torque distribution strategies, it focuses on finding the optimum split ration of the powertrain system, the proposed control strategy combines two different control strategies, and make use of Telematics to futher improve the performance. The simulation shows that the result of proposed control strategy is very close to that of a global optimum method, and is 15%~20% better than other control strategies. The second structure is dictinct from normal torque distriburion strategy, it replaces the driver model with an optimum speed controller. The function of the optimum speed controller is to find a speed profile according to the status of car and information provided by Telematics, the goal is to make the system operates at its highest efficiency zone. The result shows that the optimum speed controller will futher improve 5%~10% of the perforamce. The proposed control strategies are tested in model in the loop simulation, simulation environment is established based on experimental data to ensure the verisimilitude of the simulations. The propsed control strategies are futher compiled to a real time environment to verify the feasibility of implementing in real car systems.