The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
A comprehensive single-particle-degradation model for battery state-of-health prediction
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“These models can accurately simulate the internal behavior of batteries, but due to the complexity of battery aging processes and individual variability, they face many limitations in practical applications.24,25,26,27”
From Battery state of health estimation under fast charging via deep transfer learning (2025) · cites this paper as [24]
Citations
Cites
A review on the key issues for lithium-ion battery management in electric vehicles
Lu, L., Han, X., Li, J., Hua, J., & Ouyang, M. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.10.060 · Cited by 4,837
Self-citationAgeing mechanisms in lithium-ion batteries
Vetter, J., Novák, P., Wagner, M. R., Veit, C., Möller, K.-C., Besenhard, J. O., Winter, M., Wohlfahrt-Mehrens, M., Vogler, C., & Hammouche, A. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2005.01.006 · Cited by 3,987
A comparative study of equivalent circuit models for Li-ion batteries
Hu, X., Li, S., & Peng, H. (2012) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.10.013 · Cited by 2,179
Capacity Fade Mechanisms and Side Reactions in Lithium‐Ion Batteries
Arora, P., White, R. E., & Doyle, M. (1998) · Journal of The Electrochemical Society · doi:10.1149/1.1838857 · Cited by 1,408
Dahn, J. R. (1991) · Physical review. B, Condensed matter · doi:10.1103/physrevb.44.9170 · Cited by 995
Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles
Rahimi-Eichi, H., Ojha, U., Baronti, F., & Chow, M. (2013) · IEEE Industrial Electronics Magazine · doi:10.1109/mie.2013.2250351 · Cited by 965
Pinson, M. B., & Bazant, M. Z. (2013) · Journal of The Electrochemical Society · doi:10.1149/2.044302jes · Cited by 946
Numerical Simulation of Intercalation-Induced Stress in Li-Ion Battery Electrode Particles
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Dissolution of Spinel Oxides and Capacity Losses in 4 V Li / Li x Mn2 O 4 Cells
Jang, D. H., Shin, Y. J., & Oh, S. M. (1996) · Journal of The Electrochemical Society · doi:10.1149/1.1836981 · Cited by 854
Li, J., Adewuyi, K., Lotfi, N., Landers, R. G., & Park, J. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.01.011 · Cited by 623
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Research works printed but not linked: 1
- Lin, 2013, A comprehensive capacity fade model and analysis for Li-ion batteries, J. Electrochem. Soc., 160, A1701, 10.1149/2.040310jes · DOI
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Items 101–116 of 116
Simulation Study on Thermal Runaway of Lithiumion Batteries in Different Aging States
Xu, Y., Yu, X., Huang, R. N., & Lu, G. (2023) · International Conference on Energy Engineering and Power Systems (EEPS) · doi:10.1109/eeps58791.2023.10256891
Ngendahayo, A., Junyent‐Ferré, A., Rodriguez-Bernuz, J.-M., & Ntagwirumugara, E. (2024) · Energy Engineering · doi:10.32604/ee.2024.053100 · Cited by 3
Shi, K., Lu, T., Zhou, X., Sun, T., Wang, Y., Han, X., & Zheng, Y. (2024) · Communications in computer and information science · doi:10.1007/978-981-96-0232-2_14
Mishra, D. K., Zhang, J., Paudel, S., Sabet, M., Parekh, M. N., Rao, A. M., & Ding, Y. (2024) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon55916.2024.10905339
Geng, S., Zhang, Y., Zhang, K., & Zheng, B. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5252758
Zhang, Y., Zhang, Y., Liu, J., Peng, Y., & Chen, Y. (2025) · Journal of Power Sources · doi:10.1016/j.jpowsour.2025.237680
Brandell, D., Verma, A., Guo, W., Yin, L., Chowdhury, N. R., & Moosavi, A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5355553
Microdynamics of Lithium‐ion Batteries
Chen, G. S., Xu, J., & Hua, W. (2025) · Wiley eBooks · doi:10.1002/9781118848890.ch05
Impact of Cell Chemistry on the Degradation and Revenue Potential of Energy Storage Systems
Pandit, D., Bera, A., Newlun, C. J., Wilcox, T. W., Preger, Y., Nguyen, T. M., & Byrne, R. H. (2026) · IEEE Electrical Energy Storage Applications and Technologies Conference (EESAT) · doi:10.1109/eesat65054.2026.11404120
Multi‐View Lithium‐Ion Battery State of Health Estimation Based on Variational Slow Features
Yang, Z., & Wang, S. (2026) · IET Science Measurement & Technology · doi:10.1049/smt2.70074
Tan, Y., Ma, C., Bao, Y., & Qi, Y. (2026) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2026.3702546
Wang, H., Zhu, T., Cao, Z., & Wen, Y. (2026) · Journal of Energy Storage · doi:10.1016/j.est.2026.124442
Deep Learning-Based SOC, SOH, and RUL Estimation for Next-Generation Battery Management Systems
Arulini, S., Ganesh, A. S., Niranjan, B., George, P. B., Shrinivas, V. B., Milan, S., & Sandhya, P. (2026) · International Conference on Smart Communication and Sustainable Technologies (ICSCST) · doi:10.1109/icscst70031.2026.11709519
Metadata
- Authors
- Li, J., Landers, R. G., & Park, J.
- Affiliations
- Missouri University of Science and Technology (US)
- Corresponding author
- Park, J.
- ORCID
- Venue
- Journal of Power Sources
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 456
- Pages
- 227950
- ISSN
- 0378-7753 (ISSN-L)
- OpenAlex
- W3012214204
- Cited by
- 116
- References
- 33
- Citations by year
- 2026: 8 · 2025: 23 · 2024: 22 · 2023: 21 · 2022: 25 · 2021: 14 · 2020: 3
- FWCI
- 5.83
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Power Sources (acceptedVersion)
- Funders
- National Science Foundation
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Battery Modeling and Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Physical Sciences › Materials Science › Metals and Alloys › Extraction and Separation Processes
- Keywords
- lithium-ion battery degradation, battery state of health estimation, single particle model, battery management systems, capacity fade, metal dissolution, lithium loss, anode degradation, cathode degradation, effective transport properties
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