Experimental and numerical study on energy flow characteristics of a plug-in hybrid electric vehicle with integrated thermal management system

Xiaofei Wei, Yejian Qian, Zhen Gong, Mingyao Yao, Shun Meng, Yu Zhang, Zefei Xu, Duode Qian and Chao Zhang

Energy, 2024, vol. 312, issue C

Abstract: A simulation model was developed and validated to explore the energy flow distribution in plug-in hybrid electric vehicles (PHEVs) with integrated thermal management systems (ITMS), using a genetic algorithm to focus on components, subsystems, and the power system. The influence mechanism of temperature and state of charge (SOC) on the energy consumption of the ITMS was subsequently analyzed throughout the driving cycle. The main findings are: (1) Engines possess significantly greater potential for waste heat utilization compared to motors, with the thermal loss of the engine being 9.6 times greater than that of the motor. (2) Although the ITMS improves the engine energy utilization efficiency, considerable room for improvement remains. At −18 °C, the heat loss of the radiator and the heat used by the ITMS account for 14.6 % and 7.7 %, respectively. (3) A pronounced impact of low temperature and SOC on vehicle energy consumption was identified. Energy consumption increased by a factor of 2.14 as temperature decreased from 48 °C to −18 °C. The total energy consumption at SOC 35 was 1.44 times greater than at SOC 75. These findings offer valuable insights for optimizing energy flow in PHEVs equipped with ITMS.

Keywords: PHEV; ITMS; Energy flow; Genetic algorithms; C-WTVC (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544224033838
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:energy:v:312:y:2024:i:c:s0360544224033838

DOI: 10.1016/j.energy.2024.133605

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

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