TY - GEN
T1 - An efficient braking energy recovery strategy based on differential game for hybrid electric truck considering electromechanical thermal dynamic
AU - Sun, Tonglin
AU - Yang, Chao
AU - Zhang, Mingjun
AU - Wang, Weida
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Brake failure is one of the main causes of truck safety accidents under long downhills. Frequent braking increases the risk of brake drums and motor thermal failure. Hence, how to coordinate the motor and pneumatic braking torque to reduce the motor and brake drums temperature rise in case of limited battery recovery capacity is a challenging task. In this paper, an efficient braking energy recovery strategy using differential game optimization is proposed for hybrid electric truck under long downhills. Firstly, the model is established considering hybrid electric power system and temperature rise of the motors and brake drums. Then, combining with real-time slope information and vehicle status, a non-cooperative two-player game model of motors and brake drums temperature rise is constructed, and the optimal braking torque distribution is obtained based on Nash Equilibrium. The proposed strategy is verified in two specific long downhill cycles. The results indicate that the proposed strategy has well control performance and can effectively suppress the temperature rise of the motors and brake drums. The sum of HT under the proposed strategy is 16.09%, 14.92% and 1.85%, 2.27% lower than the rule and Pontryagin's minimum principle under two driving cycles, respectively. The above results fully validate the superiority of the comprehensive performance of the proposed strategy.
AB - Brake failure is one of the main causes of truck safety accidents under long downhills. Frequent braking increases the risk of brake drums and motor thermal failure. Hence, how to coordinate the motor and pneumatic braking torque to reduce the motor and brake drums temperature rise in case of limited battery recovery capacity is a challenging task. In this paper, an efficient braking energy recovery strategy using differential game optimization is proposed for hybrid electric truck under long downhills. Firstly, the model is established considering hybrid electric power system and temperature rise of the motors and brake drums. Then, combining with real-time slope information and vehicle status, a non-cooperative two-player game model of motors and brake drums temperature rise is constructed, and the optimal braking torque distribution is obtained based on Nash Equilibrium. The proposed strategy is verified in two specific long downhill cycles. The results indicate that the proposed strategy has well control performance and can effectively suppress the temperature rise of the motors and brake drums. The sum of HT under the proposed strategy is 16.09%, 14.92% and 1.85%, 2.27% lower than the rule and Pontryagin's minimum principle under two driving cycles, respectively. The above results fully validate the superiority of the comprehensive performance of the proposed strategy.
KW - Braking Energy Recovery Strategy
KW - Differential Game
KW - Hybrid Electric Truck
KW - Long Downhills
KW - Temperature Rise Control
UR - http://www.scopus.com/inward/record.url?scp=85185369151&partnerID=8YFLogxK
U2 - 10.1109/CVCI59596.2023.10397213
DO - 10.1109/CVCI59596.2023.10397213
M3 - Conference contribution
AN - SCOPUS:85185369151
T3 - Proceedings of the 2023 7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023
BT - Proceedings of the 2023 7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023
Y2 - 27 October 2023 through 29 October 2023
ER -