Compact Regenerative Braking Scheme for aPM BLDC Motor Driven Electric Two-Wheeler

ABSTRACT:

 Regenerative method of braking of an electric vehicle (EV) helps in efficient utilization of the battery power to increase the range of the vehicle. Methods described in literature for the regeneration use complex control algorithms to deal with the energy flow during the transition from the motoring mode to the regenerative braking mode of PM BLDC motor driven EV. In this paper, a simple method to control the power flow from the motor to the battery by changing the switching sequence given to the inverter used in the PM BLDC motor drive is presented. The newly presented method gives lower braking time and higher regeneration, and also does not necessitate any additional converters or ultra-capacitors.

KEYWORDS:

  1. Electric two wheeler
  2. Electric vehicle (EV)
  3. Hub motor
  4. Motor
  5. PM BLDC Motor
  6. Regenerative braking

SOFTWARE: MATLAB/SIMULINK

 CONCLUSION:

The line back-EMF based regeneration method presented in this paper delivers far better performance than the mechanical braking in two-wheeler EVs also. Further, the presented method is the simplest one among the known regenerative methods in terms of the simplicity of the system, ease of implementation and also the higher braking torque developed. In this method, a noticeable power is fed back to the battery. The range of the EV is obviously increased.

REFERENCES:

[1] J. W. Dixon, and M. E. Ortlizar, “Ultracapacitors + DC–DC Converters in Regenerative Braking System,” IEEE Aerospace andElectronic Systems magazine, Vol. 17, No. 8, pp. 16–21, August 2002.

[2] J. Cao, B. Cao, Z. Bai and W. Chen,” Energy regenerative Fuzzy Sliding mode Controller design for Ultra capacitor –Battery Hybrid Power Electric Vehicle,” Proceedings of the IEEE Int. Conf. on Mechatronics and Automation, , pp. 1570–1575, August 2007.

[3] J. Cao and B. Cao,”Fuzzy-logic – Based Sliding Mode Controller Design for Position -Sensorless Electric vehicle,” IEEE Trans.Power Electron. vol. 24, no. 10, pp. 2368– 2378, October 2009.

[4] M. Ye, Z. F. Bai, and B. Cao, “Robust H2/Infinity Control for Regenerative Braking of Electric Vehicles,” Proceedings of the IEEE Int. Conf. on Control and Automation, pp. 1366–1370, May/June 2007

[5] J. Cao, B. Cao, Z. Bai and P. Xu , ” Regenerative – Braking Sliding mode Control of Electric Vehicle based on Neural network Identification,” Proceedings of the IEEE Int. Conf. on Advanced Intelligent Mechatronics, pp. 1219–1224, July 2008.

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