1. Regenerative Braking Strategy for Hybrid Electric Vehicles in Downhill Driving Based on Model Predictive Control.
- Author
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Shu Hong, Zheng Jun, Hu Minghui, and Liang Yuanbo
- Subjects
- *
REGENERATIVE braking , *HYBRID electric vehicle research , *AUTOMOBILE engine control systems , *AUTOMOBILE brakes , *ELECTRIC vehicle batteries - Abstract
In order to fully recover the downhill regenerative braking energy of vehicles and maintain battery cycle life, and based on the analysis on the global optimal control strategy of regenerative braking energy of vehicles in cruising downhill, a model predictive control strategy of regenerative braking model for hybrid electric vehicle cruising downhill is proposed with maximizing regenerative braking energy and minimizing battery temperature rising rate as bi-objectives. The results of cruising downhill simulation at different slope lengths and gradients show that the model predictive control strategy achieves good control effects in terms of recovery rate of braking energy and the temperature rise and charging rate of battery, with higher computing efficiency, meeting the requirements of real-time control. [ABSTRACT FROM AUTHOR]
- Published
- 2013