Parameter Matching and Performance Simulation for a Distributed Power Extended-Range Electric Vehicle

2014 ◽  
Vol 496-500 ◽  
pp. 1360-1364 ◽  
Author(s):  
Da Wang ◽  
Chuan Xue Song ◽  
Shi Xin Song

In order to solve the problem of low power-mass-ratio and high curb-weight in existing extended-range electric vehicle, this paper proposed a distributed power design, and calculated the powertrain parameters of this design, which was based on a commercially available extended-range electric vehicle. Through parameter calculation and simulation, this design was proved to significantly lower the curb weight and manufacturing cost of an extended range electric vehicle, and improve the efficiency of regenerative braking at the same time, finally lead to longer mileage.

2019 ◽  
Vol 79 ◽  
pp. 03006
Author(s):  
Limian Wang ◽  
Shumao Wang ◽  
Zhenghe Song

Electric vehicles are recognized as an effective way to alleviate the energy crisis and environmental degradation, and extended range electric vehicles which have both the technical advantages of hybrid electric vehicles and pure electric vehicles, have gradually become a research hotspot in the automotive industry. In this paper, the system structure design of the extended range electric vehicle is carried out. On the basis of the pure electric vehicle, the engine and generator set are added. The control strategy model is established and the simulation research is carried out. The results show that the proposed control strategy model optimizes the working range of the range extender, takes into account the performance of the battery and the drive motor, and shows good tracking characteristics.


2014 ◽  
Vol 533 ◽  
pp. 321-327
Author(s):  
Wei Wang ◽  
Guang Kui Shi ◽  
Hong Wei Zhang

The basic characteristic for traction motor of hybrid electric vehicle affected the dynamics, economy as well as reliability performance for the vehicle directly. The paper derived all kinds of requirements for traction motor according to how improve the overall performance for vehicle. The control mode, static characteristics and dynamic characteristics for the traction motor were separately proposed, and performance index for traction motor were quantitative or quantitative analyzed. As a result, theoretical principle was supplied for parameter matching and evaluation for traction in this paper.


2014 ◽  
Vol 926-930 ◽  
pp. 1387-1391 ◽  
Author(s):  
De Jun Wu ◽  
Ting Yong Lu ◽  
Li Jun Zhang ◽  
Xian Wu Gong

A method of parameter matching for extended-range electric vehicle (E-REV) was discussed to meet the requirements given, then using a model and genetic algorithm to optimize the transmission ratio of E-REV. The parameters of the battery and range extender (RE) are designed by driving range and power requirement. The simulation results shows that the parameter matching is reasonable, and the power performance and driving range could meet the design requirements.


2013 ◽  
Vol 441 ◽  
pp. 887-891
Author(s):  
Long Xu ◽  
Jun Ping Wang ◽  
Yuan Bai ◽  
Gai Ling Hu

The driving and braking energy recovery system of electric vehicle faces a lot of uncertainties, including the system parameters and the running environment uncertainties. An adaptive robust control (ARC) is presented in this paper to treat the problems including disturbance and parameter variation in the design of driving and regenerative braking controller. It can enhance the stability robustness and performance robustness. A model of the driving and regenerative braking system is constructed and then the ARC controller is designed. The experiment results show that the controller based on ARC theory has better performance of stability, robustness, and disturbance attenuation than traditional PID controller.


2014 ◽  
Vol 602-605 ◽  
pp. 1122-1126
Author(s):  
Ji Gao Niu ◽  
Chun Hua Xu

In order to further improve the baking energy recovery rate of extended-range electric vehicle (E-REV), thus to extend driving distance, a high efficiency regenerative braking control strategy for E-REV was proposed. Based on the co-simulation platform with AVL-Cruise and Simulink, a dynamic model for E-REV was set up and simulation calculations on hybrid motor-mechanical regenerative braking were performed. The simulation results with typical driving cycles illustrate that the friction braking force and the regenerative braking force could be well integrated, braking energy recovery efficiency was high, and the proposed control strategy of regenerative braking in the paper is effective.


2015 ◽  
Vol 51 (3) ◽  
pp. 2479-2488 ◽  
Author(s):  
Khwaja M. Rahman ◽  
Sinisa Jurkovic ◽  
Constantin Stancu ◽  
John Morgante ◽  
Peter J. Savagian

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