TY - GEN
T1 - An Adaptive Equivalent Heat Minimization Strategy for Hybrid Electric Trucks Braking Considering Brake Temperature Rise in Long Downhills
AU - Yang, Liuquan
AU - Wang, Weida
AU - Yang, Chao
AU - Du, Xuelong
AU - Zhao, Bingquan
N1 - Publisher Copyright:
© 2023, Beijing Paike Culture Commu. Co., Ltd.
PY - 2023
Y1 - 2023
N2 - High temperature failure of truck brake is one of the main causes of truck accidents, which is an urgent problem to be solved for vehicle safety. Especially in long downhill, the problem is more pronounced due to the frequent braking. In this paper, a brake control strategy is proposed to be applied in hybrid electric trucks. Firstly, the model considering hybrid powertrain and brake temperature rise is established. Then, an optimal method based on Pontryagin's minimum principle (PMP) is designed. To improve the adaptability of the proposed strategy to the road, a self-correcting law is designed adjust the costates in the optimization method based on road information and vehicle state. Finally, four test roads were fitted by reference to several typical highways with long downhills in China. The results that the proposed can significantly reduce the maximum braking temperature with a rule strategy in fitting long downhill. It is also found that the continuous long downhill is more disadvantageous to the brake than the staged downhill.
AB - High temperature failure of truck brake is one of the main causes of truck accidents, which is an urgent problem to be solved for vehicle safety. Especially in long downhill, the problem is more pronounced due to the frequent braking. In this paper, a brake control strategy is proposed to be applied in hybrid electric trucks. Firstly, the model considering hybrid powertrain and brake temperature rise is established. Then, an optimal method based on Pontryagin's minimum principle (PMP) is designed. To improve the adaptability of the proposed strategy to the road, a self-correcting law is designed adjust the costates in the optimization method based on road information and vehicle state. Finally, four test roads were fitted by reference to several typical highways with long downhills in China. The results that the proposed can significantly reduce the maximum braking temperature with a rule strategy in fitting long downhill. It is also found that the continuous long downhill is more disadvantageous to the brake than the staged downhill.
KW - Adaptive Optimal Control
KW - Brake Control Strategy
KW - Brake Temperature Rise Model
KW - Energy Management
KW - Hybrid Electric Trucks
UR - http://www.scopus.com/inward/record.url?scp=85161189096&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-1027-4_3
DO - 10.1007/978-981-99-1027-4_3
M3 - Conference contribution
AN - SCOPUS:85161189096
SN - 9789819910267
T3 - Lecture Notes in Electrical Engineering
SP - 22
EP - 31
BT - The Proceedings of the 5th International Conference on Energy Storage and Intelligent Vehicles, ICEIV 2022
A2 - Sun, Fengchun
A2 - Yang, Qingxin
A2 - Dahlquist, Erik
A2 - Xiong, Rui
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th International Conference on Energy Storage and Intelligent Vehicles, ICEIV 2022
Y2 - 3 December 2022 through 4 December 2022
ER -