Energy management strategy for tracked vehicles considering battery loss and heat dissipation

Cong Jiang; Chao Wang; Renrong Long; Tao Zhang; Zepeng Gao

doi:10.1117/12.3050901

20 January 2025 Energy management strategy for tracked vehicles considering battery loss and heat dissipation

Cong Jiang, Chao Wang, Renrong Long, Tao Zhang, Zepeng Gao

Author Affiliations +

Proceedings Volume 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024); 134220I (2025) https://doi.org/10.1117/12.3050901
Event: Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 2024, Xi'an, China

Abstract

In view of the high power, high heat production and high heat dissipation of the auxiliary system of hybrid tracked vehicles, the conventional energy management strategy does not consider the battery loss cost and heat dissipation of the auxiliary system. In this paper, an energy management control strategy based on particle swarm optimization is proposed by introducing battery loss cost and heat dissipation demand power. Firstly, the battery model and auxiliary system heat dissipation model are constructed, and the energy management strategy is formulated by particle swarm optimization algorithm. The influence of battery loss cost and auxiliary system heat dissipation on the energy management strategy of hybrid tracked vehicles is studied, and an energy management control strategy for mode switching according to driving requirements is established according to the optimization results of particle swarm optimization algorithm. The results show that the PSO optimization results considering battery loss and auxiliary system heat dissipation are more in line with the use scenario of hybrid tracked vehicles, and the energy consumption and economy increase by 5.5% compared with the PSO optimization results which do not consider both.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Cong Jiang, Chao Wang, Renrong Long, Tao Zhang, and Zepeng Gao "Energy management strategy for tracked vehicles considering battery loss and heat dissipation", Proc. SPIE 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 134220I (20 January 2025); https://doi.org/10.1117/12.3050901

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE