My bibliography
Save this item
Combined cycling and calendar capacity fade modeling of a Nickel-Manganese-Cobalt Oxide Cell with real-life profile validation
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Chen, Jingwei & E, Jiaqiang & Kang, Siyi & Zhao, Xiaohuan & Zhu, Hao & Deng, Yuanwang & Peng, Qingguo & Zhang, Zhiqing, 2019. "Modeling and characterization of the mass transfer and thermal mechanics of the power lithium manganate battery under charging process," Energy, Elsevier, vol. 187(C).
- Fabian Rücker & Ilka Schoeneberger & Till Wilmschen & Ahmed Chahbaz & Philipp Dechent & Felix Hildenbrand & Elias Barbers & Matthias Kuipers & Jan Figgener & Dirk Uwe Sauer, 2022. "A Comprehensive Electric Vehicle Model for Vehicle-to-Grid Strategy Development," Energies, MDPI, vol. 15(12), pages 1-31, June.
- Luca Pugi & Tommaso Elios Povolato & Nico Tiezzi, 2025. "Simulation of Combined Aging Effects for Battery Operated Trains: A Benchmark Case Study on the Line Between Reggio Calabria and Catanzaro," Energies, MDPI, vol. 18(5), pages 1-18, February.
- Irujo, Elisa & Berrueta, Alberto & Sanchis, Pablo & Ursúa, Alfredo, 2025. "Methodology for comparative assessment of battery technologies: Experimental design, modeling, performance indicators and validation with four technologies," Applied Energy, Elsevier, vol. 378(PA).
- Sahar Khaleghi & Yousef Firouz & Maitane Berecibar & Joeri Van Mierlo & Peter Van Den Bossche, 2020. "Ensemble Gradient Boosted Tree for SoH Estimation Based on Diagnostic Features," Energies, MDPI, vol. 13(5), pages 1-16, March.
- Joris De Hoog & Joris Jaguemont & Mohamed Abdel-Monem & Peter Van Den Bossche & Joeri Van Mierlo & Noshin Omar, 2018. "Combining an Electrothermal and Impedance Aging Model to Investigate Thermal Degradation Caused by Fast Charging," Energies, MDPI, vol. 11(4), pages 1-15, March.
- Li, Yi & Zou, Changfu & Berecibar, Maitane & Nanini-Maury, Elise & Chan, Jonathan C.-W. & van den Bossche, Peter & Van Mierlo, Joeri & Omar, Noshin, 2018. "Random forest regression for online capacity estimation of lithium-ion batteries," Applied Energy, Elsevier, vol. 232(C), pages 197-210.
- Khaleghi, Sahar & Karimi, Danial & Beheshti, S. Hamidreza & Hosen, Md. Sazzad & Behi, Hamidreza & Berecibar, Maitane & Van Mierlo, Joeri, 2021. "Online health diagnosis of lithium-ion batteries based on nonlinear autoregressive neural network," Applied Energy, Elsevier, vol. 282(PA).
- Haber, Marc & Azaïs, Philippe & Genies, Sylvie & Raccurt, Olivier, 2023. "Stress factor identification and Risk Probabilistic Number (RPN) analysis of Li-ion batteries based on worldwide electric vehicle usage," Applied Energy, Elsevier, vol. 343(C).
- Karimi, Danial & Behi, Hamidreza & Berecibar, Maitane & Van Mierlo, Joeri, 2023. "A comprehensive coupled 0D-ECM to 3D-CFD thermal model for heat pipe assisted-air cooling thermal management system under fast charge and discharge," Applied Energy, Elsevier, vol. 339(C).
- Fabian Steger & Jonathan Krogh & Lasantha Meegahapola & Hans-Georg Schweiger, 2022. "Calculating Available Charge and Energy of Lithium-Ion Cells Based on OCV and Internal Resistance," Energies, MDPI, vol. 15(21), pages 1-23, October.
- Juan Antonio López-Villanueva & Pablo Rodríguez-Iturriaga & Luis Parrilla & Salvador Rodríguez-Bolívar, 2023. "Application of Variable-Order Fractional Calculus to the Modeling of Calendar Aging in Lithium-Ion Batteries," Energies, MDPI, vol. 16(5), pages 1-18, March.
- Li, Yi & Liu, Kailong & Foley, Aoife M. & Zülke, Alana & Berecibar, Maitane & Nanini-Maury, Elise & Van Mierlo, Joeri & Hoster, Harry E., 2019. "Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
- Omid Rahbari & Noshin Omar & Joeri Van Mierlo & Marc A. Rosen & Thierry Coosemans & Maitane Berecibar, 2019. "Electric Vehicle Battery Lifetime Extension through an Intelligent Double-Layer Control Scheme," Energies, MDPI, vol. 12(8), pages 1-24, April.
- Islam, Shirazul & Iqbal, Atif & Marzband, Mousa & Khan, Irfan & Al-Wahedi, Abdullah M.A.B., 2022. "State-of-the-art vehicle-to-everything mode of operation of electric vehicles and its future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
- Chu Wang & Yaohong Sun & Yinghui Gao & Ping Yan, 2023. "The Incremental Capacity Curves and Frequency Response Characteristic Evolution of Lithium Titanate Battery during Ultra-High-Rate Discharging Cycles," Energies, MDPI, vol. 16(8), pages 1-14, April.
- Yang, Yang & Yuan, Wei & Zhang, Xiaoqing & Ke, Yuzhi & Qiu, Zhiqiang & Luo, Jian & Tang, Yong & Wang, Chun & Yuan, Yuhang & Huang, Yao, 2020. "A review on structuralized current collectors for high-performance lithium-ion battery anodes," Applied Energy, Elsevier, vol. 276(C).
- Peng, Qiao & Li, Wei & Fowler, Michael & Chen, Tao & Jiang, Wei & Liu, Kailong, 2024. "Battery calendar degradation trajectory prediction: Data-driven implementation and knowledge inspiration," Energy, Elsevier, vol. 294(C).
- Jia Guo & Yaqi Li & Kjeld Pedersen & Daniel-Ioan Stroe, 2021. "Lithium-Ion Battery Operation, Degradation, and Aging Mechanism in Electric Vehicles: An Overview," Energies, MDPI, vol. 14(17), pages 1-22, August.
- Mishra, Partha Pratim & Latif, Aadil & Emmanuel, Michael & Shi, Ying & McKenna, Killian & Smith, Kandler & Nagarajan, Adarsh, 2020. "Analysis of degradation in residential battery energy storage systems for rate-based use-cases," Applied Energy, Elsevier, vol. 264(C).
- Penelope K. Jones & Ulrich Stimming & Alpha A. Lee, 2022. "Impedance-based forecasting of lithium-ion battery performance amid uneven usage," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
- Chen, Long & Ding, Shicong & Wang, Li & Zhu, Feng & Zhu, Xiayu & Zhang, Songtong & Dai, Haifeng & He, Xiangming & Cao, Gaoping & Qiu, Jinyi & Zhang, Hao, 2024. "Electrochemical model boosting accurate prediction of calendar life for commercial LiFePO4|graphite cells by combining solid electrolyte interface side reactions," Applied Energy, Elsevier, vol. 376(PA).
- Lysander De Sutter & Gert Berckmans & Mario Marinaro & Jelle Smekens & Yousef Firouz & Margret Wohlfahrt-Mehrens & Joeri Van Mierlo & Noshin Omar, 2018. "Comprehensive Aging Analysis of Volumetric Constrained Lithium-Ion Pouch Cells with High Concentration Silicon-Alloy Anodes," Energies, MDPI, vol. 11(11), pages 1-21, October.
- Luke Farrier & Richard Bucknall, 2020. "Investigating the Performance Capability of a Lithium-ion Battery System When Powering Future Pulsed Loads," Energies, MDPI, vol. 13(6), pages 1-15, March.
- Ma, Jian & Xu, Shu & Shang, Pengchao & ding, Yu & Qin, Weili & Cheng, Yujie & Lu, Chen & Su, Yuzhuan & Chong, Jin & Jin, Haizu & Lin, Yongshou, 2020. "Cycle life test optimization for different Li-ion power battery formulations using a hybrid remaining-useful-life prediction method," Applied Energy, Elsevier, vol. 262(C).
- Liu, Kailong & Ashwin, T.R. & Hu, Xiaosong & Lucu, Mattin & Widanage, W. Dhammika, 2020. "An evaluation study of different modelling techniques for calendar ageing prediction of lithium-ion batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
- Christian Geisbauer & Katharina Wöhrl & Daniel Koch & Gudrun Wilhelm & Gerhard Schneider & Hans-Georg Schweiger, 2021. "Comparative Study on the Calendar Aging Behavior of Six Different Lithium-Ion Cell Chemistries in Terms of Parameter Variation," Energies, MDPI, vol. 14(11), pages 1-18, June.