| Along with the rapid growth of vehicle population, the energy and environmentproblems become two restrictions for own automotive industry. To deal with theseproblems, more and more car companies have put their research focus on electric cars.However, limited by battery technology, the pure electric vehicles have somedisadvantages, such as high cost and short driving range, which influent theindustrialization of electric cars. As the vehicle which can prolong driving range,extended-range vehicle can be the intergraded-vehicle for pure electric vehicle, sorecently it gradually becomes the new research focus. According to the design demandof some company, the purpose of this paper is to match the parameters, preliminarilywork out the control strategy and do the optimization of some extended-range electricmiddle bus.Firstly, based on the structure of extended-range electric vehicle and design goal ofdynamic and economic performance, do the match of parameters (torque and power ofgenerator, capacity and voltage of power batteries and main parameters ofextended-range unit) of power system. Then, based on the results of matching,preliminarily work out the control strategy of vehicle, including Driving ControlStrategy (forward and backward), Driving Antiskid Control Strategy andExtended-Range Control Strategy.According to parameters of vehicle and power system, build the simulation model inCRUISE and SIMULINK. Do the dynamic, economic and extended-range controlsimulation in model. Also test the control effects of Driving Antiskid Control in twotypical conditions. All simulations show that parameters of matching are right and thecontrol strategies are feasible. In the end, based on the ant colony algorithm does theoptimization for the best economic performance. In order to test the effect ofoptimization, do the testing simulation. It shows that energy loss in NEDC reduce8.27%, which means the economic performance of vehicle is obvious improved. |
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