Chongqing Changan New Energy Vehicle Ltd.

Chongqing, China

Chongqing Changan New Energy Vehicle Ltd.

Chongqing, China
SEARCH FILTERS
Time filter
Source Type

Su L.,Chongqing Changan New Energy Vehicle Ltd. | Zeng Y.,Nanchang Institute of Technology | Qin D.,Chongqing University
Chongqing Daxue Xuebao/Journal of Chongqing University | Year: 2017

Domestic and foreign scholars has extensively and deeply researched into plug-in hybrid electric vehicle's energy management strategies, and good results of energy saving and emission reduction has been achieved. In order to further improve the performance of plug-in hybrid electric vehicle, it is necessary to summarize the research status of its energy management strategies and analyze its development trend. Firstly, we summarized and analyzed the power source's energy flow distribution method of plug-in hybrid electric vehicle, and then pointed out two problems that needed to be solved in the current plug-in hybrid electric vehicle's energy management strategies. The first problem is the influence of engine coolant temperature and catalytic converter temperature on fuel consumption and emission isn't considered, and the second one is the current energy management strategies only take drive power demand as input and the cab cooling/heating power demand is ignored. Finally, two future research directions were proposed. The first direction is the energy management strategy integrating engine coolant temperature and ternary catalytic converter temperature, and the second one is the strategy integrating cab's cooling/heating power demand. © 2017, Chongqing Medical University. All right reserved.


Dai Y.,Tsinghua University | Luo Y.,Tsinghua University | Li K.,Tsinghua University | Ren Y.,Chongqing Changan New Energy Vehicle Ltd. | And 3 more authors.
Proceedings of 2011 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2011 | Year: 2011

A hierarchical control system is established based on a newly developed full hybrid vehicle with the structure of single motor and double clutches, energy management strategy based on ICE efficiency optimization is instituted and the dynamic coordinated control for engine start while driving is studied. The energy management strategy is validated by a developed forward simulation model, a fuel consumption reduction of 34% in the NEDC driving cycle is achieved. The effect of the dynamic coordinated control for engine start while driving is proved by drum and road test © 2011 IEEE.


Wei H.,Chongqing University | Wei H.,Chongqing Jiaotong University | Qin D.,Chongqing University | Chen S.,Chongqing University | Duan Z.,Chongqing Changan New Energy Vehicle Co.
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.


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 | Zhan S.,Chongqing University | Zeng Y.,Chongqing University | Su L.,Chongqing Changan New Energy Vehicle Co.
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | Year: 2016

To improve fuel economy of the hybrid electrical vehicle(HEV), this article aimed at present energy management strategy wasn't considered the impact of fuel economy bring by different driving styles. Used jerk analysis which is caused by the vehicle traveling state for getting the method to distinguish different driving styles under different driving cycles. Speed of different driving styles is gained by this method. The optimal power distribution with combination of driving cycle identification, speed of different driving styles, equivalent consumption minimization strategy to formulate the energy management strategy of HEV based on driving style recognition are acquired. The new energy management strategy to a stochastic driving cycle is applied. The simulation results demonstrate that relative to the control strategy without driver style recognition, the formulated control strategy make the fuel consumption reduce 8.47%, engine operating points are more adjacent to the engine's optimal efficiency curve, battery SOC is more steady and better maintaining in high efficient area. © 2016 Journal of Mechanical Engineering.


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.


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.


Peng Z.,Chongqing University | Qin D.,Chongqing University | Duan Z.,Chongqing Changan New Energy Vehicle Ltd. | Yang Y.,Chongqing University
Zhongguo Jixie Gongcheng/China Mechanical Engineering | Year: 2012

In order to reduce production cost and achieve lower fuel and emission, powertrain of a novel hybrid electric vehicle based on planetarygears was proposed. Operation modes and parameters of hybrid power system were analyzed and designed respectively by using a method of dynamic modeling theory combined with numerical model theory of crucial parts such as engine, ISG motor, battery, transmission as well as planetary gears. Performance analysis model of hybrid electric vehicle was built based on system scheme and design parameters, dynamic performance of whole vehicle as well as fuel economy under ECU_EUDC were simulated and analyzed. The simulation results show that the parameters of powertrain are reasonably matched, propulsion performances are excellent, fuel oil consumption is reduced by 36.8% comparing with that of conventional vehicle and it gives theoretical basis to carry out the system schema.


Du B.,Chongqing University | Qin D.,Chongqing University | Duan Z.,Chongqing Changan New Energy Vehicle Ltd. | Ye X.,Chongqing University
Zhongguo Jixie Gongcheng/China Mechanical Engineering | Year: 2012

A new parallel HEV with planetary gear mechanism was introduced. The operation model region of the hybrid system was divided at the aim of achieving optimal system efficiency. Energy assignment management strategy was set up. A torque coordinated control algorithm was put forward to suppress the torque ripple during different mode switching processes. The simulation analysis of driving conditions was performed. The results show that energy assignment management strategy and coordinated control algorithm both optimize system efficiency and improve the vehicle drivability during mode-switch processes.

Loading Chongqing Changan New Energy Vehicle Ltd. collaborators
Loading Chongqing Changan New Energy Vehicle Ltd. collaborators