36 citations as recorded by crossref.

1. Advanced Lithium-Ion Battery Model for Power System Performance Analysis S. Potrykus et al. https://doi.org/10.3390/en13102411
2. 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.14301.1
3. 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
4. Data-Driven modeling for Li-ion battery using dynamic mode decomposition M. Abu-Seif et al. https://doi.org/10.1016/j.aej.2022.04.037
5. 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
6. 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
7. Evaluation of Charging Methods for Lithium-Ion Batteries G. Chen & W. Chung https://doi.org/10.3390/electronics12194095
8. 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
9. Performance benchmarks for open source porous electrode theory models S. Ayalasomayajula et al. https://doi.org/10.1016/j.heliyon.2024.e27830
10. 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
11. 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
12. 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
13. 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
14. An Electro-Thermal Model based fast optimal charging strategy for Li-ion batteries S. Jarid & M. Das https://doi.org/10.3934/energy.2021043
15. 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
16. Lithium-Ion Battery Modeling Including Degradation Based on Single-Particle Approximations M. Al-Gabalawy et al. https://doi.org/10.3390/batteries6030037
17. A review on fault-tolerant control strategies for lithium-ion battery systems N. Ghaeminezhad et al. https://doi.org/10.1177/01423312221119065
18. Highly Electroconductive Metal–Organic Framework: Tunable by Metal Ion Sorption Quantity F. Rouhani et al. https://doi.org/10.1021/jacs.9b04173
19. 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
20. Analysis of the electrical and thermal behaviour of Li-ion batteries using 0D and 3D-CFD approaches with validation on experimental data L. Reina et al. https://doi.org/10.1088/1742-6596/2648/1/012044
21. 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
22. Two-Outputs Nonlinear Grey Box Model for Lithium-Ion Batteries C. da Silva et al. https://doi.org/10.3390/en16052218
23. Switched Discharge Device for Enhanced Energy Extraction from Li-Ion 18650 V. Surducan & O. Bruj https://doi.org/10.3390/batteries9040214
24. 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
25. 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
26. 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
27. 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
28. Comprehensive Review of Energy Storage Systems Characteristics and Models for Automotive Applications A. Nkembi et al. https://doi.org/10.3390/batteries10030088
29. Battery state-of-charge estimation using fractional extended Kalman filter with Mittag-Leffler memory J. Hidalgo-Reyes et al. https://doi.org/10.1016/j.aej.2019.12.006
30. Handling Complexity in Virtual Battery Development with a Simplified Systems Modeling Approach A. Kampker et al. https://doi.org/10.3390/wevj15110525
31. 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
32. Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles L. Komsiyska et al. https://doi.org/10.3390/en14185989
33. 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
34. 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
35. Storage batteries in photovoltaic–electrochemical device for solar hydrogen production O. Astakhov et al. https://doi.org/10.1016/j.jpowsour.2021.230367
36. 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