Abstract
The major factor of the Battery Electric Vehicle industrialization was the short distance for one charging. Regenerative braking system can convert kinetic energy into electric energy to prolong running distance. In practical applications, regenerative braking system requires vehicle to recover energy as much as possible on the premise that ensures the braking safety. In this paper, on the basis of studying control strategies of braking energy recovered, applied the distribution strategy that based on the minimum braking force, and simulated in the different road conditions, improved the mileage range of the vehicle effectively compared to the traditional control strategy of regenerative braking.
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© 2012 Springer-Verlag Berlin Heidelberg
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Wang, J., Wang, Y., Li, M. (2012). Regenerative Braking Control Strategy for Electric Vehicle. In: Wang, J., Yen, G.G., Polycarpou, M.M. (eds) Advances in Neural Networks – ISNN 2012. ISNN 2012. Lecture Notes in Computer Science, vol 7368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31362-2_54
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DOI: https://doi.org/10.1007/978-3-642-31362-2_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31361-5
Online ISBN: 978-3-642-31362-2
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