Parameters optimum matching of pure electric vehicle dual-mode coupling drive system

As an important development direction of pure electric vehicle drive system, the distributed drive system has the advantages of compact structure, high transmission efficiency, and flexible control, but there are some serious problems such as high performance requirements to the drive motors, complex control strategies, and poor reliability. To solve these problems, a two motors dual-mode coupling drive system has been developed at first, which not only has the capacity of two-speed gear shifting, but also can automatically switch between the distributed drive and the centralized drive by means of modes change control. So, the performance requirements to the drive motors can be reduced, the problem of abnormal running caused by the fault of unilateral distributed drive systems also can be resolved by replacing the drive mode with centralized drive. Then, the system parameters primary and the optimum matching under the principle of efficiency optimization have been carried out, which makes the drive system achieve predetermined functions and meet the actual demands of different operating statuses. At last, the economic comparison of a pure electric vehicle installation with a dual-mode coupling drive system, a single-motor centralized drive system or a dual-motor distributed drive system in the simulation conditions has been completed. Compared with other systems, the driving range of the electric vehicle driven by the designed system is significantly increased, which proves the better efficiency and application value of the system.

[1]  Morteza Montazeri-Gh,et al.  Application of genetic algorithm for optimization of control strategy in parallel hybrid electric vehicles , 2006, J. Frankl. Inst..

[2]  ChunYan Wang,et al.  Mixed H2/H∞ road feel control of EPS based on genetic algorithm , 2012 .

[3]  N. Mutoh,et al.  Dynamics of Front-and-Rear-Wheel-Independent-Drive-Type Electric Vehicles at the Time of Failure , 2012, IEEE Transactions on Industrial Electronics.

[4]  Zhuoping Yu,et al.  Vehicle dynamics control of four in-wheel motor drive electric vehicle using gain scheduling based on tyre cornering stiffness estimation , 2012 .

[5]  Farzad Sadjadi,et al.  Comparison of fitness scaling functions in genetic algorithms with applications to optical processing , 2004, SPIE Optics + Photonics.

[6]  Satoshi Murata,et al.  Innovation by in-wheel-motor drive unit , 2012 .

[7]  Akihiko Abe,et al.  Development of an in-wheel drive with advanced dynamic-damper mechanism , 2003 .

[8]  Wenbo Chu,et al.  Rule-based Traction System Failure Control of Distributed Electric Drive Vehicle , 2012 .

[9]  WanZhong Zhao,et al.  Multidiscipline collaborative optimization of differential steering system of electric vehicle with motorized wheels , 2012 .

[10]  Lin Cheng,et al.  Torque Behavior of Electric Vehicle Change Mode Drive System , 2010, 2010 International Conference on Computing, Control and Industrial Engineering.

[11]  Yoichi Hori,et al.  Future vehicle driven by electricity and Control-research on four-wheel-motored "UOT electric march II" , 2004, IEEE Transactions on Industrial Electronics.

[12]  Jian Song,et al.  Real-time yaw rate prediction based on a non-linear model and feedback compensation for vehicle dynamics control , 2013 .

[13]  M A Nada,et al.  Ant Colony Optimization Algorithm , 2009 .

[14]  John N. Chiasson,et al.  Estimating the state of charge of a battery , 2005, IEEE Transactions on Control Systems Technology.

[15]  Zhenwei Cao,et al.  Intelligent Sensorless ABS for In-Wheel Electric Vehicles , 2014, IEEE Transactions on Industrial Electronics.

[16]  Cheng Lin,et al.  Mechanism and Design of EV Changing Modes Propulsion System , 2009, 2009 International Conference on Measuring Technology and Mechatronics Automation.

[17]  Rongrong Wang,et al.  Fault-tolerant control with active fault diagnosis for four-wheel independently-driven electric ground vehicles , 2011, Proceedings of the 2011 American Control Conference.

[18]  Qingnian Wang,et al.  Independent wheel torque control of 4WD electric vehicle for differential drive assisted steering , 2011 .

[19]  Jian Song,et al.  Electromechanical coupling driving control for single-shaft parallel hybrid powertrain , 2014 .

[20]  Yuping Wang,et al.  An orthogonal genetic algorithm with quantization for global numerical optimization , 2001, IEEE Trans. Evol. Comput..