38 citations as recorded by crossref.

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4. Model-Based State-of-Charge and State-of-Health Estimation Algorithms Utilizing a New Free Lithium-Ion Battery Cell Dataset for Benchmarking Purposes S. Neupert & J. Kowal https://doi.org/10.3390/batteries9070364
5. Discrete-time modeling of Li-ion batteries with electrochemical overpotentials including diffusion A. Li et al. https://doi.org/10.1016/j.jpowsour.2021.229991
6. Surface and Bulk Stabilization of Silicon Anodes with Mixed-Multivalent Additives: Ca(TFSI)2 and Mg(TFSI)2 S. Park et al. https://doi.org/10.1021/acsami.3c17578
7. A Novel Model Predictive Control Framework for Energy Management in Retrofit Hybrid Electric Vehicles N. Kothuri et al. https://doi.org/10.4271/14-12-03-0017
8. An Electro-Thermal Model based fast optimal charging strategy for Li-ion batteries S. Jarid & M. Das https://doi.org/10.3934/energy.2021043
9. Lithium-Ion Battery Modeling Including Degradation Based on Single-Particle Approximations M. Al-Gabalawy et al. https://doi.org/10.3390/batteries6030037
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11. Highly Electroconductive Metal–Organic Framework: Tunable by Metal Ion Sorption Quantity F. Rouhani et al. https://doi.org/10.1021/jacs.9b04173
12. Soft Sensors for State of Charge, State of Energy, and Power Loss in Formula Student Electric Vehicle K. Purohit et al. https://doi.org/10.3390/asi4040078
13. An online state of charge estimation for Lithium-ion and supercapacitor in hybrid electric drive vehicle I. Jarraya et al. https://doi.org/10.1016/j.est.2019.100946
14. A Comparative Study of Diagnostic Methods for Lithium-Ion Batteries M. Marafetti et al. https://doi.org/10.3390/batteries12100386
15. Lithium-ion Batteries Solid-phase Diffusion Approximations, Transient Response, Electrolyte Concentrations delayed in Time Stability Analysis under Parameters Variation O. Aluf https://doi.org/10.17352/cma.000014
16. Switched Discharge Device for Enhanced Energy Extraction from Li-Ion 18650 V. Surducan & O. Bruj https://doi.org/10.3390/batteries9040214
17. A review of thermal runaway prevention and mitigation strategies for lithium-ion batteries S. Shahid & M. Agelin-Chaab https://doi.org/10.1016/j.ecmx.2022.100310
18. A Physics-Informed Parameter Transfer Framework Between DFN and NTGK Models for Lithium-Ion Cells B. Haridasan et al. https://doi.org/10.3390/en19102422
19. Comprehensive Review of Energy Storage Systems Characteristics and Models for Automotive Applications A. Nkembi et al. https://doi.org/10.3390/batteries10030088
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21. Different Efforts but Similar Insights in Battery R&D: Electrochemical Impedance Spectroscopy vs Galvanostatic (Constant Current) Technique L. Stolz et al. https://doi.org/10.1021/acs.chemmater.2c02376
22. Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles L. Komsiyska et al. https://doi.org/10.3390/en14185989
23. A Review of Modeling, Management, and Applications of Grid-Connected Li-Ion Battery Storage Systems M. Rouholamini et al. https://doi.org/10.1109/TSG.2022.3188598
24. From room to roof: How feasible is direct coupling of solar-battery power unit under variable irradiance? O. Astakhov et al. https://doi.org/10.1016/j.solener.2020.06.033
25. Validation of a lithium-ion commercial battery pack model using experimental data for stationary energy management application A. Foles et al. https://doi.org/10.12688/openreseurope.14301.2
26. Evaluation of Charging Methods for Lithium-Ion Batteries G. Chen & W. Chung https://doi.org/10.3390/electronics12194095
27. Performance benchmarks for open source porous electrode theory models S. Ayalasomayajula et al. https://doi.org/10.1016/j.heliyon.2024.e27830
28. Characterization and Minimization of Commutation Loop Inductance in Reconfigurable Battery Systems Using Magnetically Coupled Auxiliary Loops C. Hanzl et al. https://doi.org/10.1109/TPEL.2025.3640663
29. Electrochemical Performance of Nitrogen‐Doped Graphene/Silicene Composite as a Pseudocapacitive Anode for Lithium‐ion Battery M. Nematzadeh et al. https://doi.org/10.1002/slct.202104012
30. Shape-anisotropic cobalt-germanium-borate glass flakes as novel Li-ion battery anodes J. Esper et al. https://doi.org/10.1016/j.powtec.2019.11.063
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32. Two-Outputs Nonlinear Grey Box Model for Lithium-Ion Batteries C. da Silva et al. https://doi.org/10.3390/en16052218
33. Mechanistic modelling of cyclic voltage-capacity response for lithium-ion batteries M. Nagode et al. https://doi.org/10.1016/j.energy.2019.07.121
34. Investigation of the performance of direct forecasting strategy using machine learning in State-of-Charge prediction of Li-ion batteries exposed to dynamic loads A. Dineva et al. https://doi.org/10.1016/j.est.2021.102351
35. Handling Complexity in Virtual Battery Development with a Simplified Systems Modeling Approach A. Kampker et al. https://doi.org/10.3390/wevj15110525
36. A review of equivalent-circuit model, degradation characteristics and economics of Li-ion battery energy storage system for grid applications S. Zheng et al. https://doi.org/10.1016/j.est.2024.113908
37. Storage batteries in photovoltaic–electrochemical device for solar hydrogen production O. Astakhov et al. https://doi.org/10.1016/j.jpowsour.2021.230367
38. Deep learning model for state of health estimation of lithium batteries based on relaxation voltage R. Wang et al. https://doi.org/10.1016/j.est.2023.110189