Drive-Train Control Strategy for Improving the Efficiency of RBS

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Abstract:

The goal of the present contribution is to propose a new control strategy of drive train for the improvement of efficiency of regenerative braking system. In this new control strategy, the backward numerical solution is utilized to realize the cooperative operation of the electric machine and CVT. The analysis for the proposed control strategy is fulfilled based on the vehicle model. The results show that, compared to the existing one without considering the affect of CVT’s efficiency, the proposed control strategy could make more kinetic energies in the vehicle be recaptured.

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1345-1350

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September 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Qingquan Chen, Fengchun Sun: Hybrid electric vehicle basis (BeiJing Institute of Press , China 1993).

Google Scholar

[2] Yeo H, Hwang S, Kim H: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Vol. 220-11(2006), pp.1589-1600.

DOI: 10.1243/09544070jauto304

Google Scholar

[3] J. Guo, J. Wang, B. Cao: Intelligent Vehicle Symposium, IEEE, Vol. 93-5 (2009. 6), pp.864-868.

Google Scholar

[4] AKEHURST S, VAUGHAN N D, PARKER D A, et al. Modeling of loss mechanisms in a pushing metal V-belt continuously variable transmission, part 1: torque losses due to band friction. Proc. Inst Mech. Eng, Part D: Automobile Engineering, Vol. 218(2004).

DOI: 10.1243/0954407042580020

Google Scholar

[5] DIPAK P, JEFE E, MIKE O. CVT research study. SAE 2005-01-1459, (2005).

Google Scholar

[6] Keith B. Wipke, Matthew R. Cuddy, Steven D. Burch. ADVISOR 2. 1: a user-friendly advanced power-train simulation using a combined backward/forward approach. IEEE Trans on Vehicular Tech. Vol. 48-6(1999), pp.1751-1761.

DOI: 10.1109/25.806767

Google Scholar