Integrated power and thermal management for enhancing energy efficiency and battery life in connected and automated electric vehicles

Dongjun Li, Qiuhao Hu, Weiran Jiang, Haoxuan Dong and Ziyou Song

Applied Energy, 2025, vol. 396, issue C, No S0306261925009432

Abstract: Effective power and thermal management in Connected and Automated Electric Vehicles presents significant challenges due to the multi-timescale dynamics of vehicle longitudinal motion and battery thermal systems, as well as the intricate trade-offs among energy efficiency, battery degradation, and driving safety. This paper proposes an integrated power and thermal management (IPTM) strategy based on the multi-horizon model predictive control framework, specifically designed to overcome these challenges and enable real-time implementation. The proposed IPTM can leverage real-time information, such as ambient temperature, road slope, and preceding vehicle speed, to proactively optimize battery temperature and vehicle speed, ensuring efficient performance under varying driving conditions. The results demonstrate that the proposed strategy delivers significant improvements, including reductions of 14.22% in cooling energy, 8.26% in traction energy, 22.00% in battery degradation, and 36.57% in battery degradation inconsistency across cells compared to the benchmark. Furthermore, the mean computation time per step is 0.34s shorter than the sampling time, ensuring feasibility for real-time application. Sensitivity analyses of key parameters—such as weighting factors, sampling time, and prediction horizons further underscore the robustness of the IPTM strategy and reinforce its potential for practical deployment.

Keywords: Connected and automated electric vehicles; Integrated power and thermal management; Energy and degradation optimization; Multi-horizon MPC (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261925009432
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:396:y:2025:i:c:s0306261925009432

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2025.126213

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().