Model-Based Range Extension Control System for Electric Vehicles With Front and Rear Driving–Braking Force Distributions

This paper proposes a model-based range extension control system for electric vehicles. The proposed system optimizes the front and rear driving-braking force distributions by considering the slip ratio of the wheels and the motor loss. The optimal distribution depends solely on vehicle acceleration and velocity. Therefore, this system is effective not only at constant speeds but also in acceleration and deceleration modes. Bench tests were conducted for more precise evaluation and to realize experimental results with high reproducibility. The effectiveness of the proposed system was verified through field and bench tests.

[1]  K. Kotera,et al.  Optimal torque and rotating speed trajectories minimizing energy loss of induction motor under both torque and speed limits , 2013, 2013 IEEE 10th International Conference on Power Electronics and Drive Systems (PEDS).

[2]  H. Toda,et al.  A New High Flux Density Non-Oriented Electrical Steel Sheet and its Motor Performance , 2012, IEEE Transactions on Magnetics.

[3]  Dong-Ho Cho,et al.  Design and Implementation of Shaped Magnetic-Resonance-Based Wireless Power Transfer System for Roadway-Powered Moving Electric Vehicles , 2014, IEEE Transactions on Industrial Electronics.

[4]  H. Fujimoto,et al.  Review of traction and braking control for electric vehicle , 2012, 2012 IEEE Vehicle Power and Propulsion Conference.

[5]  Hiroshi Fujimoto,et al.  Range Extension Control System for Electric Vehicle during Acceleration and Deceleration Based on Front and Rear Driving/Braking Force Distribution Considering Slip Ratio and Motor Loss , 2013 .

[6]  Mehdi Soleymani,et al.  Impact of Traffic Conditions on the Active Suspension Energy Regeneration in Hybrid Electric Vehicles , 2013, IEEE Transactions on Industrial Electronics.

[7]  Tesheng Hsiao,et al.  Robust Estimation and Control of Tire Traction Forces , 2013, IEEE Transactions on Vehicular Technology.

[8]  Y. Hori,et al.  Four-wheel driving-force distribution method based on driving stiffness and slip ratio estimation for electric vehicle with in-wheel motors , 2012, 2012 IEEE Vehicle Power and Propulsion Conference.

[9]  Philippe Delarue,et al.  The Ultracapacitor-Based Regenerative Controlled Electric Drives With Power-Smoothing Capability , 2012, IEEE Transactions on Industrial Electronics.

[10]  Yoichi Hori,et al.  Future Vehicle driven by Electricity and Control , 2006 .

[11]  Jiabin Wang,et al.  Torque Distribution Strategy for a Front- and Rear-Wheel-Driven Electric Vehicle , 2012, IEEE Transactions on Vehicular Technology.

[12]  Ebrahim Arefi Moghadam,et al.  Loss Minimization Control of Permanent Magnet Synchronous Motor Drives , 2008 .

[13]  Pavol Bauer,et al.  Driving Range Extension of EV With On-Road Contactless Power Transfer—A Case Study , 2013, IEEE Transactions on Industrial Electronics.

[14]  Yoichi Hori,et al.  Advanced Motion Control of Electric Vehicles Based on Robust Lateral Tire Force Control via Active Front Steering , 2014, IEEE/ASME Transactions on Mechatronics.

[15]  A. Emadi,et al.  A New Battery/UltraCapacitor Hybrid Energy Storage System for Electric, Hybrid, and Plug-In Hybrid Electric Vehicles , 2012, IEEE Transactions on Power Electronics.

[16]  Hiroshi Fujimoto,et al.  Range extension control system for electric vehicles during acceleration and deceleration based on front and rear driving-braking force distribution considering slip ratio and motor loss , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[17]  C. Kaido.  Effects of Cores on the Characteristics of an Induction VCM , 1994, IEEE Translation Journal on Magnetics in Japan.

[18]  Kyongsu Yi,et al.  Driving Control Algorithm for Maneuverability, Lateral Stability, and Rollover Prevention of 4WD Electric Vehicles With Independently Driven Front and Rear Wheels , 2011, IEEE Transactions on Vehicular Technology.

[19]  Hans B. Pacejka,et al.  THE MAGIC FORMULA TYRE MODEL , 1991 .

[20]  H. Fujimoto,et al.  Range extension control system for electric vehicle based on searching algorithm of optimal front and rear driving force distribution , 2012, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society.

[21]  Hiroshi Fujimoto,et al.  Range extension control system of electric vehicle based on optimal torque distribution and cornering resistance minimization , 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.