TY - JOUR
T1 - Model Predictive Control for Hybrid Electric Vehicle Platooning Using Slope Information
AU - Yu, Kaijiang
AU - Yang, Haizhu
AU - Tan, Xingguo
AU - Kawabe, Taketoshi
AU - Guo, Yanan
AU - Liang, Qing
AU - Fu, Ziyi
AU - Zheng, Zheng
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China under Grants 51405137 and 61403129, by the Key Scientific Research Program of the Higher Education Institutions of Henan Province under Grant 15A470014, by the Science and Technology Planning Project of Jiaozuo City under Grants 2014110013 and 20151020081317, and by the Doctoral Program Foundation of Henan Polytechnic University under Grant 60807/010.
Publisher Copyright:
© 2015 IEEE.
PY - 2016/7
Y1 - 2016/7
N2 - This paper presents a new model predictive control (MPC) system for hybrid electric vehicle (HEV) platooning using slope information to improve fuel economy. The new features of this study are as follows. First, a system for HEV platooning has been developed considering varying drag coefficients and road gradients. Second, the general model of the aerodynamic drag coefficient of different vehicles in a platoon is developed. Third, simulations and analysis (under different parameters, i.e., road conditions, prediction horizon, vehicle state of charge, etc.) are conducted to verify the effectiveness of the method to achieve higher fuel efficiency. Fourth, the spacing between the vehicles in the platoon is designed in the objective function to ensure driving safety. The MPC problem is solved using a discrete numerical computation method: the continuation and generalized minimum residual method.
AB - This paper presents a new model predictive control (MPC) system for hybrid electric vehicle (HEV) platooning using slope information to improve fuel economy. The new features of this study are as follows. First, a system for HEV platooning has been developed considering varying drag coefficients and road gradients. Second, the general model of the aerodynamic drag coefficient of different vehicles in a platoon is developed. Third, simulations and analysis (under different parameters, i.e., road conditions, prediction horizon, vehicle state of charge, etc.) are conducted to verify the effectiveness of the method to achieve higher fuel efficiency. Fourth, the spacing between the vehicles in the platoon is designed in the objective function to ensure driving safety. The MPC problem is solved using a discrete numerical computation method: the continuation and generalized minimum residual method.
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U2 - 10.1109/TITS.2015.2513766
DO - 10.1109/TITS.2015.2513766
M3 - Review article
AN - SCOPUS:84961335576
SN - 1524-9050
VL - 17
SP - 1894
EP - 1909
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 7
M1 - 7390284
ER -