Analysis of the CC–CV Charging Profile Influence on Electric Vehicle Battery Lifespan
Corressponding author's email:
duongva@hcmute.edu.vnDOI:
https://doi.org/10.54644/jte.2026.1870Keywords:
Electric Vehicle, Lithium Ion-Battery, Charging process, Battery lifespan, Battery SavingAbstract
Batteries represent a critical and high-value component within modern energy systems, particularly in the domain of electric vehicles (EVs). The operational lifespan of batteries significantly influences overall system performance, reliability, lifecycle costs, and environmental sustainability. Among the various stressors affecting battery health, the charging process is recognized as a predominant contributor to electrochemical degradation. Adverse conditions such as elevated charging rates, non-optimal ambient or cell temperatures, and suboptimal state-of-charge (SoC) windows can accelerate capacity fade and internal resistance growth, thereby diminishing battery longevity. Despite substantial advancements in battery technology, accurately characterizing and quantifying the long-term effects of diverse charging parameters remains a complex challenge, necessitating advanced modeling. In this context, the authors conducted comprehensive simulations to evaluate battery degradation behavior under varying charging profiles and environmental conditions. Based on the simulation outcomes, the study proposes evidence-based strategies to assist EV users in optimizing charging protocols, ultimately enhancing system efficiency, reducing maintenance costs, and prolonging battery service life.
Downloads: 0
References
T. T. Trang, H. H. Van, and N. T. K. Oanh, “Traffic emission inventory for estimation of air quality and climate co-benefits of faster vehicle technology intrusion in Hanoi, Vietnam,” Carbon Management, vol. 6, no. 3–4, pp. 117–128, 2015.
N. Q. Do, B. P. Do, K. T. Nguyen, and D. H. Pham, “Nghiên cứu phương pháp sạc nhanh cho pin lithium dựa trên mô hình nhiệt,” Tạp chí Khoa học và Công nghệ Năng lượng – Trường Đại học Điện Lực, no. 26, pp. 27–40, 2021.
K. A. Severson et al., “Data-driven prediction of battery cycle life before capacity degradation,” Nature Energy, vol. 4, pp. 383–391, 2019.
G. dos Reis, E. V. B. dos Santos, J. Marco, A. Attia, and P. A. Christensen, “Lithium-ion battery data and where to find it,” Joule, 2021.
F. Stroebl et al., “A multi-stage lithium-ion battery aging dataset using various experimental design methodologies,” Scientific Data, vol. 11, art. no. 1020, Sep. 19, 2024.
R. Xu, Lithium-Ion Battery Modeling and SoC Estimation, M.S. thesis, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden, Jun. 2023.
B. Huang, C. Liu, M. Hu, L. Li, G. Jin, and H. Yang, “Joint estimation of SOC and available capacity of power lithium-ion battery,” Electronics, vol. 11, no. 1, art. no. 151, Jan. 2022.
Samsung SDI, “INR18650-20R lithium-ion rechargeable cell: Product specification (Rev. Mar. 2020),” Kaisi Power, 2020.
H. He, R. Xiong, and J. Fan, “Evaluation of lithium-ion battery equivalent circuit models for state of charge estimation by an experimental approach,” Energies, vol. 4, pp. 582–598, 2011.
R. Xiong, F. Sun, H. He, and K. Zhao, “A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles,” Applied Energy, vol. 113, pp. 1421–1433, Jan. 2014.
S. Valedsaravi, A. El Aroudi, and L. Martinez-Salamero, “Review of solid-state transformer applications on electric vehicle DC ultra-fast charging station,” Energies, vol. 15, no. 15, art. no. 5602, Aug. 2022, doi: 10.3390/en15155602.
Z. Wang and X. Wei, “Design considerations for wireless charging systems with an analysis of batteries,” Energies, vol. 8, no. 10, pp. 10664–10683, 2015.
D. M. Weragoda, G. Tian, A. Burkitbayev, K. H. Lo, and T. Zhang, “A comprehensive review on heat pipe based battery thermal management systems,” Applied Thermal Engineering, vol. 224, art. no. 120070, 2023.
M. Bernagozzi, A. Georgoulas, N. Miche, and M. Marengo, “Heat pipes in battery thermal management systems for electric vehicles: A critical review,” Applied Thermal Engineering, vol. 219, 2023.
Downloads
Published
How to Cite
License
Copyright (c) 2026 Journal of Technical Education Science

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright © JTE.


