Optimization of Energy Management Strategy of a PHEV Based on Improved PSO Algorithm and Energy Flow Analysis

Yong Liu, Jimin Ni (), Rong Huang, Xiuyong Shi, Zheng Xu, Yanjun Wang and Yuan Lu
Additional contact information
Yong Liu: School of Automotive Studies, Tongji University, Shanghai 201804, China
Jimin Ni: College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China
Rong Huang: School of Automotive Studies, Tongji University, Shanghai 201804, China
Xiuyong Shi: School of Automotive Studies, Tongji University, Shanghai 201804, China
Zheng Xu: SAIC MOTOR R&D Innovation Headquarters, SAIC MOTOR, Shanghai 201804, China
Yanjun Wang: SAIC MOTOR R&D Innovation Headquarters, SAIC MOTOR, Shanghai 201804, China
Yuan Lu: SAIC MOTOR R&D Innovation Headquarters, SAIC MOTOR, Shanghai 201804, China

Sustainability, 2024, vol. 16, issue 20, 1-27

Abstract: Single-gear-ratio plug-in hybrid vehicles (SRPHEVs) are favored by major manufacturers due to their excellent energy-saving potential, simple structure, ease of maintenance and control, great cost-saving potential, and the benefits of vehicle lightweighting. Implementing an energy management strategy (EMS) is the key to realizing the energy-saving potential of PHEVs. In this paper, based on a newly developed coaxial configuration, P1-P3 SRPHEV, with the purpose of reducing PHEV fuel consumption, the advantages of various methods were synthesized. An improved intelligent optimization algorithm, the Particle Swarm Optimization (PSO) algorithm, was used to find the optimal rule-based strategy parameters. The PSO algorithm could be easily adjusted to the parameters and obtains the desired results quickly. Different long-distance speed profiles tested under real-world driving cycle (RDC) conditions were used to validate the fuel savings. And an energy flow analysis was conducted to further investigate the reasons for the algorithm optimization. The results show that the optimization plans of the PSO algorithm in different cycle conditions can improve the equivalent fuel consumption of vehicles in different long-distance conditions. Considering the optimization effect of the equivalent fuel consumption and actual fuel consumption, the best case of the equivalent fuel consumption is improved by 2.98%, and the actual fuel consumption is improved by 2.37%. Through the energy flow analysis, it is found that the energy-saving effect of the optimization plan lies in the following principle: lowering the parallel mode switching threshold to increase the parallel mode usage time and to reduce the fuel–mechanical–electrical transmission path loss, resulting in increasing the energy utilization of the whole vehicle.

Keywords: single-gear-ratio PHEV; energy management strategy; improved PSO algorithm; real driving conditions; energy flow analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/20/9017/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/20/9017/ (text/html)

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:gam:jsusta:v:16:y:2024:i:20:p:9017-:d:1501352

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().