LAPSE:2023.23156
Published Article
LAPSE:2023.23156
Optimal Energy Management of Plug-In Hybrid Electric Vehicles Concerning the Entire Lifespan of Lithium-Ion Batteries
Zeyu Chen, Jiahuan Lu, Bo Liu, Nan Zhou, Shijie Li
March 27, 2023
The performance of lithium-ion batteries will inevitably degrade during the high frequently charging/discharging load applied in electric vehicles. For hybrid electric vehicles, battery aging not only declines the performance and reliability of the battery itself, but it also affects the whole energy efficiency of the vehicle since the engine has to participate more. Therefore, the energy management strategy is required to be adjusted during the entire lifespan of lithium-ion batteries to maintain the optimality of energy economy. In this study, tests of the battery performances under thirteen different aging stages are involved and a parameters-varying battery model that represents the battery degradation is established. The influences of battery aging on energy consumption of a given plug-in hybrid electric vehicle (PHEV) are analyzed quantitatively. The results indicate that the variations of capacity and internal resistance are the main factors while the polarization and open circuit voltage (OCV) have a minor effect on the energy consumption. Based on the above efforts, the optimal energy management strategy is proposed for optimizing the energy efficiency concerning both the fresh and aging batteries in PHEV. The presented strategy is evaluated by a simulation study with different driving cycles, illustrating that it can balance out some of the harmful effects that battery aging can have on energy efficiency. The energy consumption is reduced by up to 2.24% compared with that under the optimal strategy without considering the battery aging.
Keywords
battery aging, energy management, Genetic Algorithm, global optimization, particle swarm algorithm, plug-in electric vehicles, state of health
Suggested Citation
Chen Z, Lu J, Liu B, Zhou N, Li S. Optimal Energy Management of Plug-In Hybrid Electric Vehicles Concerning the Entire Lifespan of Lithium-Ion Batteries. (2023). LAPSE:2023.23156
Author Affiliations
Chen Z: School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
Lu J: School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
Liu B: School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
Zhou N: School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
Li S: School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
Journal Name
Energies
Volume
13
Issue
10
Article Number
E2543
Year
2020
Publication Date
2020-05-17
Published Version
ISSN
1996-1073
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PII: en13102543, Publication Type: Journal Article
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doi:10.3390/en13102543
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