Comfort and energy-saving control of electric vehicle based on nonlinear model predictive algorithm
Manli Dou1, 2, Chun Shi1, 2, Gang Wu1, 2, Xiaoguang Liu1, 2
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(4) 249-254
1 School of Information Science and Technology, University of Science and Technology of China, China
2 National Electric Vehicle System Integration Engineering Research Center, China
This paper develops a control-oriented drivability model for an electric vehicle and a nonlinear model predictive optimization algorithm for an electric vehicle. A cost function is developed that considers the tracking error of setting value and the variation of control volume. Longitudinal ride comfort and energy-saving is also considered. Simulations show that the developed control system provides significant benefits in terms of fuel economy, vehicle safety and tracking capability while at the same time also satisfying driver desired car following characteristics.