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Huang W.,Shandong University | Cheng Y.,Shandong University | Wang H.,Shandong Jiuli Electronic Technology Co. | Li C.,Jinan Electrical Vehicle Operation Co.
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | Year: 2012

The coloumbic efficiency, open circuit voltage, and voltaic efficiency of a 320 V/100 A·h LiFePO 4/C battery pack was tested using a battery's test bench, and the relationship between the battery efficiency and the current and state of charge (SOC) was established. A quadratic model was developed to describe efficiency of the battery pack by ordinary least squares. The comparison results between the modeling results and real measured values indicate that the model is valid and the maximum relative error is within 0.8% at some typical points according to a real vehicle. Source


Huang W.,Shandong University | Cheng Y.,Shandong University | Li C.,Jinan Electrical Vehicle Operation Co. | Zhang X.,Jinan Electrical Vehicle Operation Co. | Wang H.,Shandong Jiuli Electronic Technology Co.
Jiangsu Daxue Xuebao (Ziran Kexue Ban)/Journal of Jiangsu University (Natural Science Edition) | Year: 2012

To optimize vehicle control process according to optimal efficiency of motor system, the relationship of motor efficiency versus motor speed and torque was established. The experimental research was curried out under the work conditions measured from a real vehicle, and efficiency characteristics of the motor were obtained through a bench test. The results show that the motor system efficiency over 80% can be achieved within the range of 77.1% testing area. Electric motor efficiency data were fitted by Ordinary Least Squares (OLS). A quartic function was selected to describe the efficiency of the motor system based on the accuracy of fitting results and calculation complexity. The simulation was validated by the measured results which were obtained at full load characteristics of electric motor. The maximum relative error of 3.9% indicates that the function or model is reasonable. The proposed model can provide basis for optimizing vehicle control strategy based on the best efficiency of motor system. Source


Huang W.-Y.,Shandong University | Cheng Y.,Shandong University | Ji S.-B.,Shandong University | Li C.,Jinan Electrical Vehicle Operation Co. | And 2 more authors.
Dianji yu Kongzhi Xuebao/Electric Machines and Control | Year: 2012

A control strategy of Electric Vehicle (EV) powertrain under dynamic operation conditions was optimized in order to lower power consumption and prolong EV's endurance mileage. Based on measured data from an AC asynchronous motor and a LiFePO4/C Li-ion battery pack, a powertrain's working efficiency describing model was developed. An optimal control method to improve EV powertrain's efficiency was deduced following the model. To verify the method, a powertrain's simulating model was established, and its validation was conformed in contrast to the results of experiments. An EV's start acceleration process control strategy was optimized according to the simulating results, and the strategy was implemented in the test bench. The testing results show a 3.3% efficiency improvement of the new strategy over the original one, which suggests that this powertrain efficiency model can be used to optimize the control strategy at dynamic operation conditions. Source


Huang W.,Shandong University | Cheng Y.,Shandong University | Ji S.,Shandong University | Li C.,Jinan Electrical Vehicle Operation Co. | And 2 more authors.
Qiche Gongcheng/Automotive Engineering | Year: 2013

For improving the efficiency of the power drive system of battery electric vehicle, the Simulink and Stateflow modules of Matlab software are used to develop a driving control strategy for battery electric vehicle, consisting of acceleration pedal signal processing module, driving mode identification and switching strategy and control strategies for each driving mode. With the strategy, incremental PID control based on vehicle speed deviation is adopted in steady mode, the control is exerted following the optimum path for efficiency in transient mode and the output power of motor is limited in failure mode. To verify the strategy, a simulation model for power drive system is built and simulation and real vehicle test are conducted. The results show that the control strategy developed is effective and can enhance the efficiency of power drive system and hence extend the driving range of battery electric vehicle. Source


Huang W.,Shandong University | Cheng Y.,Shandong University | Cao H.,Shandong University | Li C.,Jinan Electrical Vehicle Operation Co. | Zhang X.,Jinan Electrical Vehicle Operation Co.
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | Year: 2012

By improving the efficiency of energy feedback, electric vehicle's endurance mileage could be prolonged efficiently. The efficiency is affected by motor speed, brake torque, battery pack's state of charge(SOC) and some other factors. The relationship of energy feedback efficiency and motor speed, brake torque, battery pack's SOC, battery pack's temperature is studied by means of electric vehicle(EV) power-train's performance testing bench. The restriction of motor's temperature to the maximum brake torque setting is discussed. Working condition range is set according to the real results from an EV. And in this range, the energy feedback efficiency is measured under different motor speeds, brake torques, and battery pack's SOCs. A prediction model of energy feedback efficiency is developed based on measured data, and the model's validity is verified by testing results. Energy feedback control strategy for coasting process is developed according to the model, and real vehicle testing result show energy feedback efficiency improvement of the new strategy over the original one, which suggests that this efficiency model can be used to optimize the control strategy at coasting condition. © 2012 Journal of Mechanical Engineering. Source

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