Modeling, Simulation And Optimization Of The Light Hybrid Military Vehicle

With the wide use of hybrid electric technology in commercial vehicles and the transition of land army from traditional heavy army to modern light-duty army, the army introduces the hybrid electric technology to the military vehicle gradually. There are great virtues of using the hybrid electric technology in the military vehicle, such as traveling further, operating quieter, and carrying more equipment into battle while consuming less fuel and providing soldiers increased protection. The aim of this thesis is to construct the powertrain model of a light hybrid military vehicle, simulate and analyze vehicular dynamic performance and fuel economy. Via the analysis and comparison of SHEV, PHEV and PSHEV, as well as the development of foreign military hybrid vehicles and characteristics of the light military vehicle, I establish the configuration of a 4WD light hybrid military Vehicle. Then, I obtain the parameters of the 4WD light hybrid military vehicle by combining the vehicular dynamic performance characteristics and choosing proper components of the powertrain.I introduce ADVISOR2002 in detail. Then, I construct the models of engine, AC motor and battery and develop new simulation models of SHEV. I describe four kinds of power flow when vehicle operates in different modes. The engine of SHEV has two control strategies of power management. One is Thermostat control strategy, the other one is Power-Follower control strategy. And I clarify the two control strategies' realization in ADVISOR.I simulate the 4WD light hybrid military vehicle under the CYC-ARB02 cycle in ADVISOR. Comparing the simulation results of the 4WD light hybrid military vehicle with the simulation results of the conventional vehicle, I make a conclusion that the 4WD light hybrid military vehicle has better vehicular dynamic performance and fuel economy. With the help of AutoSize, I optimize the main parameters of powertrain which proves that the 4WD light hybrid military vehicle after optimization achieves better fuel economy. Besides, the method of optimizing Power-Follower control strategy has been given.