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Qin D.,Chongqing University | Peng Z.,Ford Motor Company | Liu Y.,Chongqing University | Duan Z.,Chongqing Changan New Energy Vehicle Ltd. | Yang Y.,Chongqing University
Zhongguo Jixie Gongcheng/China Mechanical Engineering | Year: 2014

Energy management strategy of HEV which was built in invariable cycle condition existed some limitations. 20 typical cycle conditions which standed for vehicle real driving conditions were chosen from ADVISOR software and key control parameters of each driving cycle were optimized by using particle swarm algorithm as the comprehensive goal of vehicle total fuel consumption and power battery life, relevant optimized results were saved in database, an energy management strategy of HEV based on driving pattern recognition was proposed. Finally, simulation for the energy management strategy was carried out under a random driving condition, simulation results show that vehicle fuel consumption is cut down 10.70%, temperature rise and average operation current are cut down 2.46 ℃ and 1.63 A respectively by using dynamic energy management strategy compared with energy management strategy without driving pattern recognition.


Qin D.,Chongqing University | Wei H.,Chongqing University | Wei H.,Chongqing Jiaotong University | Duan Z.,Chongqing Changan New Energy Vehicle Ltd. | Chen S.,Chongqing University
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | Year: 2012

The temperature and efficiency of the three way catalytic converters of hybrid electric vehicle may be decreased and emission is deteriorated because of the engine's frequent start/stop during mode switching process. In order to minimize the fuel consumption and emission from the outlet of catalytic converter of full hybrid electric vehicles in the NEDC cycle, based on Pontryagin minimum principle the cost function relating the battery's state of charge and the temperature of three-way catalytic converter is established and solved to get the extreme value, then the global optimum real-time control strategy is obtained in order to minimize the fuel consumption and emission from the outlet of catalytic converter of full hybrid electric vehicles in the NEDC cycle. The control strategy during braking and stopping operations is simplified to analytically compare the effects of the control strategies with and without engine's start-stop optimum on the fuel consumption and emission. Dynamic model of the vehicle is established on the platform of Matlab/imulink to validate the optimum control strategy and to compare the optimum control strategy with Rules control strategy. The results show that the optimum control strategy can optimize the engine's start-stop with the purpose of significantly speeding up the catalytic converter's light-off. The vehicle's fuel economy and emission from the outlet of three way catalyst are optimized from global perspective. Compared to the Rules control strategy, each index in Pareto solution set is improved effectively. © 2012 Journal of Mechanical Engineering.


Wei H.,Chongqing University | Wei H.,Chongqing Jiaotong University | Qin D.,Chongqing University | Chen S.,Chongqing University | Duan Z.,Chongqing Changan New Energy Vehicle Ltd.
Jiangsu Daxue Xuebao (Ziran Kexue Ban)/Journal of Jiangsu University (Natural Science Edition) | Year: 2012

To lighten the influence of three-way catalyst characteristics on vehicle emission during cold start, a fuzzy logic controller of energy management with decreased engine output power to improve engine exhaust temperature in combination driving cycle was designed to speed up the catalytic converter light off. Based on the minimum principle, the catalyst optimum light-off control strategy was proposed. According to lumped method of neat capacity, vehicle dynamic model was established with consideration of the transient characteristics of catalytic converter in Matalb/simulink. The influence of the two control strategies on the fuel consumption and emission performance was analyzed. The simulation and the bench test results show that both the control strategies can increase transferred heat from exhaust emission to catalytic converter and shorten catalyst light-off time. The engine emission performance of hybrid electric vehicle during cold start can be improved effectively by the proposed strategies.


Du B.,Chongqing University | Qin D.-T.,Chongqing University | Duan Z.-H.,Chongqing Changan New Energy Vehicle Ltd.
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2013

In order to accelerate a new hybrid electric vehicle control system development and reduce cost, the power drive system and transmission system are established by SimPowerSystems and SimDrivelines on Matlab/Simulink platform. And the mode switching control strategy for pure electric mode to engine drive mode and engine drive mode to hybrid drive mode process were proposed, and the performance of the two mode switching control strategy was simulated. The simulation result indicates that the designed control strategy ensures smooth power transfer during mode switching process. The multi-domain physical modeling of hybrid electric vehicle is reasonable and feasible, which will provide a new and efficient method for modeling and control of hybrid electric vehicle.


Qin D.,Chongqing University | Zeng Y.,Chongqing University | Su L.,Chongqing Changan New Energy Vehicle Ltd. | Zhan S.,Chongqing University
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | Year: 2015

Fit the instantaneous fuel consumption of engine to the piecewise function which is made up of a linear function and a quadratic function, fit the instantaneous equivalent fuel consumption of battery to the piecewise function which is made up of two quadratic function, Based on this, through the analysis of Hamilton function, the approximate pontryagin's minimum principle real-time control strategy is proposed, which can shorten the optimization time by simplifying the optimal control variable search space, then compare this strategy's optimization results of equivalent fuel consumption and computation time with the rule-based CD-CS mode control strategy and the optimal control strategy based on pontryagin's minimum principle. The results show that: in terms of equivalent fuel consumption, optimization results of the real-time control strategy proposed are close to the optimal control strategy based on pontryagin's minimum principle, but significantly better than rule-based CD-CS mode control strategy; in terms of computation time, the real-time control strategy is close to rule-based CD-CS mode control strategy, but significantly shorter than the optimal control strategy based on pontryagin's minimum principle. © 2015 Journal of Mechanical Engineering.

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