Abstract
Lithium-ion batteries are an alternative to mitigate environmental impacts in the vehicle sector. However, their performance is limited by degradation during use, downtime, and environmental and operating conditions. This work analyzes the behavior of lithium-ion batteries when used in a light electric vehicle. Specifically, it determines the state of charge and state of health of a lithium-ion battery package when used in a light electric vehicle with a 500–1080 W power rating and a 48 V, 8.8 Ah electric motor. This light electric vehicle underwent a worldwide harmonized motorcycle emissions certification/test procedure, while the lithium-ion batteries were evaluated at 25, 35, 45, and 65 °C. Voltage, amperage, and temperature were measured in real time. A thermographic study was also conducted in which heat transfer images of lithium-ion batteries were taken in different positions. The results show that the lithium-ion battery package retains more heat in the central area of the module. For example, in the 25 °C test, the most critical temperature reading was 29.9 °C. In the 65 °C test; however, the most critical temperature reading was 80.2 °C. The implementation of a ventilation system for the lithium-ion battery package for applications in light vehicles was evident. Lithium-ion batteries were found to be sensitive to temperatures above 35 °C. These high temperatures cause accelerated voltage loss and an imbalance in cell charge, which consequently lowering performance. Therefore, the state of charge and state of health of the Lithium-ion battery package are significantly impacted.
Data availability
The data used to support the findings of this study are available from the corresponding author upon request.
References
Zhu, G. et al. Fast charging lithium batteries: Recent progress and future prospects. Nano-Micro Small. 15, 1805389 (2019).
Xie, W. et al. Challenges and opportunities toward fast-charging of lithium-ion batteries. J. Energy Storage. 32, 1–22 (2020).
Birkl, C. R., Roberts, M. R., McTurk, E. Bruce, P. C., & Howey, D. A. Degradation diagnostics for lithium ion cells. J. Power Source. 341, 373–386 (2017).
Wang, J. et al. Cycle-life model for graphite-LiFePO4 cells. J. Power Source. 196, 3942–3948 (2011).
Jenu, S., Hentunen, A., Haavisto, J. & Pihlatie, M. State of health estimation of cycle aged large format lithium-ion cells based on partial charging. J. Energy Storage. 46, 1–11 (2022).
Barré, A. et al. A review on lithium-ion battery ageing mechanisms and estimations for automotive applications. J. Power Sour. 241, 680–689 (2013).
Rezvanizaniani, S. M., Liu, Z., Chen, Y. & Lee, J. Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility. J. Power Sources. 256, 110–124 (2014).
Pampel, F., Pischinger, S. & Teuber, M. A systematic comparison of the packing density of battery cell-to-pack concepts at different degrees of implementation. Results Eng. 13, 1–3 (2022).
Brondani, M. F., Sausen, A. T. Z. R., Sausen, P. S. & Binelo, M. O. Battery model parameters estimation using simulated annealing. Trends Comput. Appl. Math. 18, 127–137 (2017).
Yu, K., Yang, X., Cheng, Y. & Li, C. Thermal analysis and two-directional air flow thermal management for lithium-ion battery pack. J. Power Sources. 270, 193–200 (2014).
Yousefi, E. et al. Electrochemical-thermal modeling of phase change material battery thermal management systems: Investigating mesh types for accurate simulations. Int. J. Heat Mass Transf. 247, 1–16 (2025).
Gao, Y., Zhang, X., Cheng, Q., Guo, B. & Yang, J. Classification and review of the charging strategies for commercial lithium-Ion batteries. IEEE 7, 43511–43524 (2019).
Tomaszewska, A. et al. Lithium-ion battery fast charging: A review. eTransportation 1, 1–31 (2019).
Barai, A., Bloom, I., et al. A comparison of methodologies for the non-invasive characterisation of commercial Li-ion cells. Prog. Energy Combust. Sci. 72, 1–31 (2019).
Watanabe, T., Hirose, Y., Fujita, Y. & Kato, Y. Development of battery management system. Fujitsu Ten Tech. J. 42, 68–80 (2016).
Raijmakers, L. H. J., Danilov, D. L., Lammeren, J. P. M., Lammers, M. J. G. & Notten, P. H. L. Sensorless battery temperature measurements based on electrochemical impedance spectroscopy. J. Power Sources. 247, 539–544 (2014).
Li, Y. et al. A quick on-line state of health Estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter. J. Power Sources. 373, 40–53 (2018).
Taylor, J. et al. An insight into the errors and uncertainty of the lithium-ion battery characterisation experiments. J. Energy Storage. 24, 2–8 (2019).
Xie, Y. et al. A high-fidelity online monitoring algorithm for multiple physical fields in battery pack. Appl. Energy. 398, 1–15 (2025).
Vakilzadeh, A. H., Sarvestani, A. B., Javaherdeh, K., Kamali, R. & Panchal, S. To what extent does local oscillation influence the thermal performance of finned PCM-based energy storage systems: A numerical study. Int. J. Heat Fluid Flow. 114, 1–13 (2025).
Panchal, S. et al. Method for designing accelerated battery aging testing protocol from battery electric vehicle usage data. US Patent App 18/484,719, (2025).
Madani, S. S. et al. Exploring the aging dynamics of lithium-ion batteries for enhanced lifespan understanding. J. Phys. Conf. Ser. 2968, 1–17 (2025).
Santucci, M., Pieve, M. & Pierini, M. Electric L-category vehicles for smart urban mobility. Transp. Res. Proc.. 14, 3651–3660 (2016).
Panagakos, G. et al. E-mobility solutions for urban transportation: User needs across four continents. Transp. Res. Procedia. 72, 2558–2565 (2023).
Huang, H., Bian, C., Wu, M., An, D. & Yang, S. A novel integrated SOC–SOH estimation framework for whole-life-cycle lithium-ion batteries. Energy 288, 1–10 (2024).
Bachir, Z., Khoudir, M., Mohamed, B. & Yahmedi, S. Estimation of battery Soc for hybrid electric vehicle using Coulomb counting method. Int. J. Emerg. Electr. Power Syst. 19, 20170181 (2018).
Che, S. V. et al. State of health (SoH) Estimation methods for second life lithium-ion battery—Review and challenges. Appl. Energy. 369, 1–49 (2024).
Mao, C., Ruther, R. E., Li, J., Du, Z. & Belharouak, I. Identifying the limiting electrode in lithium ion batteries for extreme fast charging. Electrochem. Commun. 97, 37–41 (2018).
Sillero, A. A. C. Review of methods for estimating the states of charge and health of a battery. Pistas Educativas. 32, 352–368 (2017).
Tian, H., Qin, P., Li, K. & Zhao, Z. A review of the state of health for lithium-ion batteries: Research status and suggestions. J. Clean. Prod. 261, 1–30 (2020).
Yang, D., Wang, L., Yu, K. & Liang, J. A reinforcement learning-based energy management strategy for fuel cell hybrid vehicle considering real-time velocity prediction. Energy. Conv. Manag. 274, 1–13 (2022).
Sun, H. et al. Quick evaluation of the state-of-health of spent Lithium-Ion battery modules. Int. J. Electrochem. Sci. 17, 1–18 (2022).
Zheng, M. & Luo, X. Joint Estimation of state of charge (SOC) and state of health (SOH) for lithium ion batteries using support vector machine (SVM), convolutional neural network (CNN) and long sort term memory network (LSTM) models. Int. J. Electrochem. Sci. 19, 1–10 (2024).
Zhao, Y. et al. Preventing lithium ion battery failure during high temperatures by externally applied compression. J. Energy Storage. 13, 296–303 (2017).
GermanyUN, E. C. E. World Forum for Harmonization of Vehicle Regulations. Working Group on the Worldwide Motorcycle Emission Test Cycle, H., Draft Technical Report. 45th GRPE, 131 (2003).
Liu, X. et al. Research on battery SOH estimation algorithm of energy storage frequency modulation system. Energy Rep. 8, 217–223 (2022).
Sauerteig, D. et al. Electrochemical-mechanical coupled modeling and parameterization of swelling and ionic transport in lithium-ion batteries. J. Power Sources. 378, 235–247 (2018).
Wiriyasart, S., Hommalee, C., Sirikasemsuk, S., Prurapark, R. & Naphon, P. Thermal management system with nanofluids for electric vehicle battery cooling modules. Case Stud. Therm. Eng. 18, 1–11 (2020).
Chang, L. et al. Experimental study on the effect of ambient temperature and discharge rate on the temperature field of prismatic batteries. J. Energy Storage. 59, 1–9 (2023).
Ouyang, D., Weng, J., Chen, M. & Wang, J. Impact of high-temperature environment on the optimal cycle rate of lithium-ion battery. J. Energy Storage. 28, 1–10 (2020).
Darma, M. S. D. et al. The influence of cycling temperature and cycling rate on the phase specific degradation of a positive electrode in lithium ion batteries: A post mortem analysis. J. Power Sources. 327, 714–725 (2016).
Desastres, C. N. Onda de Calor en México. Obtenido de Centro Nacional de Prevención de Desastres- La canícula.10 of may 20. https://www.gob.mx/cenapred/articulos/onda-de-calor-en-mexico
Cicconi, P., Landi, D. & Germani, M. Thermal analysis and simulation of a Li-ion battery pack for a lightweight commercial EV. Appl. Energy. 192, 159–177 (2017).
Chung, Y. & Kim, M. S. Thermal analysis and pack level design of battery thermal management system with liquid cooling for electric vehicles. Energy. Conv. Manag. 196, 105–116 (2019).
Acknowledgements
The authors are thankful to the Instituto Politécnico Nacional and an EDI grant from SIP/IPN.
Funding
The authors wish to gratefully acknowledge Secretaría de Ciencia, Humanidades, Tecnología e Innovación (SECIHTI - México) and the Instituto Politécnico Nacional for the support received in SIP 20250033, SIP 20250150 as well as an EDI grant, all from SIP/IPN.
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Conceptualization, J.C.P.R., O.J.R. and C.R.T.S.M., methodology, J.C.P.R., and J.M.Q., ; software, J. M.Q.; validation, R.V.M and O.J.R.; formal analysis J.M.Q., and J.C.P.R, investigation, J.C.P.R and R.V.M.; resources J.C.P.R. and C.R.T.S.M.; data curation, J.C.P.R. and J.M.Q.; writing—original draft preparation, J.C.P.R. and J.M.Q. ; writing—review and editing, J.C.P.R., O.J.R. and R.V.M.; visualization, J.M.Q.; supervision, J.C.P.R, and R.V.M.; project administration, J.M.Q. and J.C.P.R.; funding acquisition, J.C.P.R. All authors reviewed the manuscript.
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Quintana, J.M., Paredes-Rojas, J.C., Vázquez-Medina, R. et al. Temperature and voltage effects on the charge and health of lithium-ion battery modules in light electric vehicles. Sci Rep (2026). https://doi.org/10.1038/s41598-026-40094-5
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DOI: https://doi.org/10.1038/s41598-026-40094-5