Combined cycling and calendar capacity fade modeling of a Nickel-Manganese-Cobalt Oxide Cell with real-life profile validation

Lithium Batteries: Status, Prospects and Future

Scrosati, B., & Garche, J. (2010) · Journal of Power Sources · doi:10.1016/j.jpowsour.2009.11.048 · Cited by 5,153 · see citing works

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 · see citing works

Ageing 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 · see citing works

Cycle-life model for graphite-LiFePO4 cells

Wang, J. J., Liu, P., Hicks-Garner, J., Sherman, E., Soukiazian, S., Verbrugge, M. W., Tataria, H., Musser, J., & Finamore, P. (2010) · Journal of Power Sources · doi:10.1016/j.jpowsour.2010.11.134 · Cited by 1,785 · see citing works

A review on lithium-ion battery ageing mechanisms and estimations for automotive applications

Barré, A., Deguilhem, B., Grolleau, S., Gérard, M., Suard, F., & Riu, D. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.05.040 · Cited by 1,758 · see citing works

Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries

Ng, K. S., Moo, C.-S., Chen, Y.-P., & Hsieh, Y.-C. (2009) · Applied Energy · doi:10.1016/j.apenergy.2008.11.021 · Cited by 1,636 · see citing works

A short review of failure mechanisms of lithium metal and lithiated graphite anodes in liquid electrolyte solutions

Aurbach, D., Zinigrad, E., Cohen, Y., & Teller, H. (2002) · Solid State Ionics · doi:10.1016/s0167-2738(02)00080-2 · Cited by 1,365 · see citing works

A comprehensive review of lithium-ion batteries used in hybrid and electric vehicles at cold temperatures

Jaguemont, J., Boulon, L., & Dubé, Y. (2016) · Applied Energy · doi:10.1016/j.apenergy.2015.11.034 · Cited by 1,188 · see citing works

Main aging mechanisms in Li ion batteries

Broussely, M., Biensan, P., Bonhomme, F., Blanchard, P., Herreyre, S., Nechev, K., & Staniewicz, R. J. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2005.03.172 · Cited by 1,162 · see citing works

Temperature dependent ageing mechanisms in Lithium-ion batteries – A Post-Mortem study

Waldmann, T., Wilka, M. D., Kasper, M., Fleischhammer, M., & Wohlfahrt-Mehrens, M. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.03.112 · Cited by 1,098 · see citing works

Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application

Waag, W., Käbitz, S., & Sauer, D. U. (2013) · Applied Energy · doi:10.1016/j.apenergy.2012.09.030 · Cited by 987 · see citing works

A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification

Han, X., Ouyang, M., Lu, L., Li, J., Zheng, Y., & Li, Z. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.11.029 · Cited by 822 · see citing works

Lithium-ion battery cell degradation resulting from realistic vehicle and vehicle-to-grid utilization

Peterson, S., Apt, J., & Whitacre, J. F. (2009) · Journal of Power Sources · doi:10.1016/j.jpowsour.2009.10.010 · Cited by 813 · see citing works

Calendar and cycle life study of Li(NiMnCo)O2-based 18650 lithium-ion batteries

Ecker, M., Nieto, N., Käbitz, S., Schmalstieg, J., Blanke, H., Warnecke, A., & Sauer, D. U. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.09.143 · Cited by 791 · see citing works

A holistic aging model for Li(NiMnCo)O2 based 18650 lithium-ion batteries

Schmalstieg, J., Käbitz, S., Ecker, M., & Sauer, D. U. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.02.012 · Cited by 755 · see citing works

Lithium iron phosphate based battery – Assessment of the aging parameters and development of cycle life model

Omar, N., Monem, M. A., Firouz, Y., Salminen, J. P., Smekens, J., Hegazy, O., Gualous, H., Mulder, G., den Bossche, P. V., Coosemans, T., et al. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.09.003 · Cited by 742 · see citing works

Aging mechanism in Li ion cells and calendar life predictions

Broussely, M., Herreyre, S., Biensan, P., Kasztejna, P., Nechev, K., & Staniewicz, R. J. (2001) · Journal of Power Sources · doi:10.1016/s0378-7753(01)00722-4 · Cited by 728 · see citing works

Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles

Zou, Y., Hu, X., Ma, H., & Li, S. E. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.09.146 · Cited by 723 · see citing works

Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data

Ecker, M., Gerschler, J. B., Vogel, J., Käbitz, S., Hust, F., Dechent, P., & Sauer, D. U. (2012) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.05.012 · Cited by 647 · see citing works

An accelerated calendar and cycle life study of Li-ion cells

Bloom, I., Cole, B., Sohn, J.-B., Jones, S. A., Polzin, E. G., Battaglia, V., Henriksen, G. L., Motloch, C. G., Richardson, R., Unkelhaeuser, T., et al. (2001) · Journal of Power Sources · doi:10.1016/s0378-7753(01)00783-2 · Cited by 623 · see citing works

Capacity fade study of lithium-ion batteries cycled at high discharge rates

Ning, G., Haran, B., & Popov, B. N. (2003) · Journal of Power Sources · doi:10.1016/s0378-7753(03)00029-6 · Cited by 616 · see citing works

Simulation of capacity fade in lithium-ion batteries

Spotnitz, R. M. (2002) · Journal of Power Sources · doi:10.1016/s0378-7753(02)00490-1 · Cited by 575 · see citing works

Multimodal Physics-Based Aging Model for Life Prediction of Li-Ion Batteries

Safari, M., Morcrette, M., Teyssot, A., & Delacourt, C. (2009) · Journal of The Electrochemical Society · doi:10.1149/1.3043429 · Cited by 544 · see citing works

Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling

Hu, X., Jiang, J., Cao, D., & Egardt, B. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2461523 · Cited by 504 · see citing works

Standardization of the rainflow counting method for fatigue analysis

Amzallag, C., GEREY, J., ROBERT, J., et al. (1994) · International Journal of Fatigue · doi:10.1016/0142-1123(94)90343-3 · Cited by 491 · see citing works

Aging mechanisms of lithium cathode materials

Wohlfahrt‐Mehrens, M., Vogler, C., & Garche, J. (2003) · Journal of Power Sources · doi:10.1016/j.jpowsour.2003.09.034 · Cited by 470 · see citing works

Behavior and State-of-Health Monitoring of Li-ion Batteries Using Impedance Spectroscopy and Recurrent Neural Networks

Eddahech, A., Briat, O., Bertrand, N., Delétage, J.-Y., & Vinassa, J.-M. (2012) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2012.04.050 · Cited by 462 · see citing works

Nonlinear aging characteristics of lithium-ion cells under different operational conditions

Schuster, S. F., Bach, T., Fleder, E., Müller, J., Brand, M. J., Sextl, G., & Jossen, A. (2015) · Journal of Energy Storage · doi:10.1016/j.est.2015.05.003 · Cited by 455 · see citing works

Mathematical modeling of the capacity fade of Li-ion cells

Ramadass, P., Haran, B., White, R. E., & Popov, B. N. (2003) · Journal of Power Sources · doi:10.1016/s0378-7753(03)00531-7 · Cited by 446 · see citing works

Characterizing aging effects of lithium ion batteries by impedance spectroscopy

Tröltzsch, U., Kanoun, O., & Tränkler, H.-R. (2006) · Electrochimica Acta · doi:10.1016/j.electacta.2005.02.148 · Cited by 427 · see citing works

The ability of battery second use strategies to impact plug-in electric vehicle prices and serve utility energy storage applications

Neubauer, J., & Pesaran, A. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.06.053 · Cited by 419 · see citing works

Intelligent prognostics for battery health monitoring based on sample entropy

Widodo, A., Shim, M.-C., Caesarendra, W., & Yang, B.-S. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.03.063 · Cited by 392 · see citing works

Lithium Ion Battery Anode Aging Mechanisms

Agubra, V. A., & Fergus, J. (2013) · Materials · doi:10.3390/ma6041310 · Cited by 386 · see citing works

Energy storage systems in modern grids—Matrix of technologies and applications

Palizban, O., & Kauhaniemi, K. (2016) · Journal of Energy Storage · doi:10.1016/j.est.2016.02.001 · Cited by 380 · see citing works

Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model

Wang, D., Miao, Q., & Pecht, M. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.03.129 · Cited by 351 · see citing works

Surface structural disordering in graphite upon lithium intercalation/deintercalation

Sethuraman, V. A., Hardwick, L. J., Srinivasan, V., & Kostecki, R. M. (2009) · Journal of Power Sources · doi:10.1016/j.jpowsour.2009.12.034 · Cited by 344 · see citing works

A naive Bayes model for robust remaining useful life prediction of lithium-ion battery

Ng, S. S. Y., Xing, Y., & Tsui, K. (2014) · Applied Energy · doi:10.1016/j.apenergy.2013.12.020 · Cited by 340 · see citing works

Development of an empirical aging model for Li-ion batteries and application to assess the impact of Vehicle-to-Grid strategies on battery lifetime

Petit, M., Prada, E., & Sauvant-Moynot, V. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.03.119 · Cited by 334 · see citing works

Factors that affect cycle-life and possible degradation mechanisms of a Li-ion cell based on LiCoO2

Choi, S. S., & Lim, H. S. (2002) · Journal of Power Sources · doi:10.1016/s0378-7753(02)00305-1 · Cited by 333 · see citing works

Longevity-conscious dimensioning and power management of the hybrid energy storage system in a fuel cell hybrid electric bus

Hu, X., Johannesson, L. M., Murgovski, N., et al. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.05.013 · Cited by 324 · see citing works

Nonlinear aging of cylindrical lithium-ion cells linked to heterogeneous compression

Bach, T. C., Schuster, S. F., Fleder, E., Müller, J., Brand, M. J., Lorrmann, H., Jossen, A., & Sextl, G. (2016) · Journal of Energy Storage · doi:10.1016/j.est.2016.01.003 · Cited by 296 · see citing works

Calendar ageing analysis of a LiFePO4/graphite cell with dynamic model validations: towards realistic lifetime predictions

Sarasketa-Zabala, E., Gandiaga, I., Rodriguez-Martinez, L. M., & Villarreal, I. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.08.051 · Cited by 293 · see citing works

Capacity fade analysis of a lithium ion cell

Zhang, Q., & White, R. E. (2008) · Journal of Power Sources · doi:10.1016/j.jpowsour.2008.01.028 · Cited by 289 · see citing works

Cycle aging of commercial NMC/graphite pouch cells at different temperatures

Jalkanen, K., Karppinen, J., Skogström, L., Laurila, T. T., Nisula, M., & Vuorilehto, K. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.04.110 · Cited by 281 · see citing works

Calendar aging of commercial graphite/LiFePO4 cell – predicting capacity fade under time dependent storage conditions

Grolleau, S., Delaille, A., Gualous, H., Gyan, P., Revel, R., Bernard, J., Redondo-Iglesias, E., & Peter, J. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.11.098 · Cited by 268 · see citing works

Cell degradation in commercial LiFePO4 cells with high-power and high-energy designs

Dubarry, M., Truchot, C., & Liaw, B. Y. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.02.052 · Cited by 267 · see citing works

Lithium-ion battery remaining useful life estimation with an optimized Relevance Vector Machine algorithm with incremental learning

Liu, D., Zhou, J., Pan, D., Peng, Y., & Peng, X. (2015) · Measurement · doi:10.1016/j.measurement.2014.11.031 · Cited by 266 · see citing works

Evaluation of commercial lithium-ion cells based on composite positive electrode for plug-in hybrid electric vehicle applications. Part II. Degradation mechanism under 2C cycle aging

Dubarry, M., Truchot, C., Liaw, B. Y., Gering, K. L., Sazhin, S. V., Jamison, D. K., & Michelbacher, C. J. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.08.078 · Cited by 265 · see citing works

Model based identification of aging parameters in lithium ion batteries

Prasad, G. K., & Rahn, C. D. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.01.041 · Cited by 234 · see citing works

Modeling Diffusion-Induced Stress in Li-Ion Cells with Porous Electrodes

Christensen, J. (2010) · Journal of The Electrochemical Society · doi:10.1149/1.3269995 · Cited by 232 · see citing works

Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models

Ramadesigan, V., Chen, K., Burns, N. A., Boovaragavan, V., Braatz, R. D., & Subramanian, V. R. (2011) · Journal of The Electrochemical Society · doi:10.1149/1.3609926 · Cited by 216 · see citing works

Modeling capacity fade in lithium-ion cells

Liaw, B. Y., Jungst, R. G., Nagasubramanian, G., Case, H. L., & Doughty, D. H. (2004) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.08.017 · Cited by 215 · see citing works

Long cycle life lithium ion battery with lithium nickel cobalt manganese oxide (NCM) cathode

Liu, S., Xiong, L., & He, C. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.03.083 · Cited by 213 · see citing works

Cycle ageing analysis of a LiFePO4/graphite cell with dynamic model validations: towards realistic lifetime predictions

Sarasketa-Zabala, E., Gandiaga, I., Martinez-Laserna, E., Rodriguez-Martinez, L. M., & Villarreal, I. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.10.153 · Cited by 210 · see citing works

Off-grid photovoltaic vehicle charge using second life lithium batteries: An experimental and numerical investigation

Tong, S., Same, A., Kootstra, M. A., & Park, J. W. (2012) · Applied Energy · doi:10.1016/j.apenergy.2012.11.046 · Cited by 194 · see citing works

Realistic lifetime prediction approach for Li-ion batteries

Sarasketa-Zabala, E., Martinez-Laserna, E., Berecibar, M., Gandiaga, I., Rodriguez-Martinez, L. M., & Villarreal, I. (2016) · Applied Energy · doi:10.1016/j.apenergy.2015.10.115 · Cited by 191 · see citing works

Lithium-Ion Battery Aging Experiments at Subzero Temperatures and Model Development for Capacity Fade Estimation

Jaguemont, J., Boulon, L., Venet, P., Dubé, Y., & Sarı, A. (2015) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2015.2473841 · Cited by 182 · see citing works

Performance comparison of four lithium–ion battery technologies under calendar aging

Eddahech, A., Briat, O., & Vinassa, J.-M. (2015) · Energy · doi:10.1016/j.energy.2015.03.019 · Cited by 171 · see citing works

Electrochemical characterization and post-mortem analysis of aged LiMn2O4–NMC/graphite lithium ion batteries part II: Calendar aging

Stiaszny, B., Ziegler, J. C., Krauß, E. E., Zhang, M., Schmidt, J. P., & Ivers‐Tiffée, E. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.02.019 · Cited by 166 · see citing works

Aging prediction and state of charge estimation of a LiFePO 4 battery using input time-delayed neural networks

Chaoui, H., Ibe-Ekeocha, C. C., & Gualous, H. (2017) · Electric Power Systems Research · doi:10.1016/j.epsr.2017.01.032 · Cited by 165 · see citing works

Lithium-ion battery based renewable energy solution for off-grid electricity: A techno-economic analysis

Jaiswal, A. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.01.049 · Cited by 158 · see citing works

Capacity fade modelling of lithium-ion battery under cyclic loading conditions

Ashwin, T. R., Chung, Y. M., & Wang, J. (2016) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.08.054 · Cited by 145 · see citing works

Model-based distinction and quantification of capacity loss and rate capability fade in Li-ion batteries

Schmidt, A., Bitzer, M., Imre, Á. W., & Guzzella, L. (2010) · Journal of Power Sources · doi:10.1016/j.jpowsour.2010.06.011 · Cited by 134 · see citing works

Cycle life estimation of lithium secondary battery by extrapolation method and accelerated aging test

Takei, K., Kumai, K., Kobayashi, Y., Miyashiro, H., Terada, N., Iwahori, T., & Tanaka, T. (2001) · Journal of Power Sources · doi:10.1016/s0378-7753(01)00646-2 · Cited by 132 · see citing works

Minimizing the costs of constructing an all plug-in electric bus transportation system: A case study in Penghu

Ke, B., Chung, C.-Y., & Chen, Y. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.05.152 · Cited by 127 · see citing works

Multi-stress factor model for cycle lifetime prediction of lithium ion batteries with shallow-depth discharge

Cui, Y., Du, C., Yin, G., Gao, Y., Zhang, L., Guan, T., Yang, L., & Wang, F. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2015.01.003 · Cited by 124 · see citing works

Lifetime Estimation of the Nanophosphate $\hbox{LiFePO}_{4}\hbox{/C}$ Battery Chemistry Used in Fully Electric Vehicles

Swierczynski, M. J., Stroe, D., Stan, A.-I., Teodorescu, R., & Kær, S. K. (2015) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2015.2405500 · Cited by 122 · see citing works

Development of a physics-based degradation model for lithium ion polymer batteries considering side reactions

Fu, R., Choe, S.-Y., Agubra, V., & Fergus, J. W. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.12.059 · Cited by 120 · see citing works

Capacity fade of LiNi (1−x−y) Co x Al y O 2 cathode for lithium-ion batteries during accelerated calendar and cycle life test. I. Comparison analysis between LiNi (1−x−y) Co x Al y O 2 and LiCoO 2 cathodes in cylindrical lithium-ion cells during long term storage test

WATANABE, S., Kinoshita, M., & Nakura, K. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.08.079 · Cited by 116 · see citing works

Aging formula for lithium ion batteries with solid electrolyte interphase layer growth

Tanim, T. R., & Rahn, C. D. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2015.06.014 · Cited by 107 · see citing works

Micro‐Macroscopic Coupled Modeling of Batteries and Fuel Cells: II. Application to Nickel‐Cadmium and Nickel‐Metal Hydride Cells

Gu, W., Wang, C. Y., & Liaw, B. Y. (1998) · Journal of The Electrochemical Society · doi:10.1149/1.1838821 · Cited by 97 · see citing works

A capacity fade model for lithium-ion batteries including diffusion and kinetics

Sankarasubramanian, S., & Krishnamurthy, B. (2012) · Electrochimica Acta · doi:10.1016/j.electacta.2012.03.063 · Cited by 91 · see citing works

Path dependence of lithium ion cells aging under storage conditions

Su, L., Zhang, J., Huang, J., Ge, H., Li, Z., Xie, F., & Liaw, B. Y. (2016) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.03.043 · Cited by 83 · see citing works

Online state-of-health estimation of lithium-ion batteries using Dynamic Bayesian Networks

He, Z., Gao, M., Ma, G., Liu, Y., & Chen, S. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.05.100 · Cited by 81 · see citing works

A new method of accelerated life testing based on the Grey System Theory for a model-based lithium-ion battery life evaluation system

Gu, W., Sun, Z., Wei, X., & Dai, H. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.05.103 · Cited by 80 · see citing works

Influence of relaxation time on the lifetime of commercial lithium-ion cells

Reichert, M., Andre, D., Rösmann, A., Janßen, P., Bremes, H.-G., Sauer, D. U., Passerini, S., & Winter, M. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.03.053 · Cited by 80 · see citing works

Design principles and energy system scale analysis technologies of new lithium-ion and aluminum-ion batteries for sustainable energy electric vehicles

Li, Y., Yang, J. R., & Song, J. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.12.094 · Cited by 77 · see citing works

Residual lifetime prediction for lithium-ion battery based on functional principal component analysis and Bayesian approach

Cheng, Y., Lü, C., Li, T., & Tao, L. (2015) · Energy · doi:10.1016/j.energy.2015.07.022 · Cited by 75 · see citing works

Grid connected performance of a household lithium-ion battery energy storage system

Bila, M., Opathella, C., & Venkatesh, B. (2016) · Journal of Energy Storage · doi:10.1016/j.est.2016.04.001 · Cited by 49 · see citing works

2019 29th Australasian Universities Power Engineering Conference (AUPEC)

(2019) · doi:10.1109/aupec48547.2019 · Cited by 47 · see citing works

Parametrisation of the influence of different cycling conditions on the capacity fade and the internal resistance increase for lithium nickel manganese cobalt oxide/graphite cells

Niehoff, P., Kraemer, E., & Winter, M. (2013) · Journal of Electroanalytical Chemistry · doi:10.1016/j.jelechem.2013.08.032 · Cited by 30 · see citing works

A physics based reduced order aging model for lithium-ion cells with phase change

Gambhire, P., Hariharan, K. S., Khandelwal, A., et al. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.07.127 · Cited by 27 · see citing works

Novel Method for Evaluation and Prediction of Capacity Loss Metrics in Li-Ion Electrochemical Cells

Gering, K. L. (2017) · Electrochimica Acta · doi:10.1016/j.electacta.2017.01.052 · Cited by 27 · see citing works

Capacity Fade Diagnosis of Lithium Ion Battery Pack in Electric Vehicle Base on Fuzzy Neural Network

Li, J., Tan, F., Zhang, C., et al. (2014) · Energy Procedia · doi:10.1016/j.egypro.2014.12.077 · Cited by 10 · see citing works

Battery Lifetime Prognostics

Hu, X., Xu, L., Lin, X., & Pecht, M. (2020) · Joule · doi:10.1016/j.joule.2019.11.018 · Cited by 1,320 · see citing works

Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review

Li, Y., Liu, K., Foley, A. M., Zülke, A., Berecibar, M., Nanini-Maury, E., Van Mierlo, J., & Hoster, H. E. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109254 · Cited by 1,193 · see citing works

Random forest regression for online capacity estimation of lithium-ion batteries

Li, Y., Zou, C., Berecibar, M., Nanini-Maury, E., Chan, J. C.-W., van den Bossche, P., Van Mierlo, J., & Omar, N. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.09.182 · Cited by 727 · see citing works

Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications

Yang, S., Zhang, C., Jiang, J., Zhang, W., Zhang, L., & Wang, Y. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.128015 · Cited by 435 · see citing works

Online Health Diagnosis of Lithium-Ion Batteries Based on Nonlinear Autoregressive Neural Network

Khaleghi, S., Karimi, D., Beheshti, S. H., Hosen, M. S., Behi, H., Berecibar, M., & Van Mierlo, J. (2021) · Applied Energy · doi:10.1016/j.apenergy.2020.116159 · Cited by 161 · see citing works

Ensemble Gradient Boosted Tree for SoH Estimation Based on Diagnostic Features

Khaleghi, S., Firouz, Y., Berecibar, M., Mierlo, J. V., & Bossche, P. V. D. (2020) · Energies · doi:10.3390/en13051262 · Cited by 44 · see citing works

State of Health Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy and Backpropagation Neural Network

Zhang, S., Hosen, M. S., Kalogiannis, T., Mierlo, J. V., & Berecibar, M. (2021) · World Electric Vehicle Journal · doi:10.3390/wevj12030156 · Cited by 36 · see citing works

Degradation behaviour analysis and end-of-life prediction of lithium titanate oxide batteries

Soltani, M., Vilsen, S. B., Stroe, A.-I., Knap, V., & Stroe, D.-I. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.107745 · Cited by 27 · see citing works

A combined thermo-electric resistance degradation model for nickel manganese cobalt oxide based lithium-ion cells

de Hoog, J., Jaguemont, J., Nikolian, A., Van Mierlo, J., Van Den Bossche, P., & Omar, N. (2018) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2018.02.044 · Cited by 17 · see citing works

Ion exchange purification of manganese sulphate solutions from cobalt

Холмогоров, А. Г., Кононова, О. Н., Patrushev, V. V., Mikhlina, E. V., Kononov, Y. S., & Pashkov, G. L. (1997) · Hydrometallurgy · doi:10.1016/s0304-386x(96)00083-7 · Cited by 24 · see citing works

Investigation on the Efficiency and Mechanism of Iron and Manganese Removal from Acid Mine Drainage Using Serpentine-Loaded Manganese Oxide

Zhang, L., Wang, W., Guo, X., et al. (2024) · Water Air & Soil Pollution · doi:10.1007/s11270-024-07554-y · Cited by 3 · see citing works

Interaction of dietary calcium, manganese, and manganese source (Mn oxide or Mn methionine complex) on chick performance and manganese utilization

Scheideler, S. E. (1991) · Biological Trace Element Research · doi:10.1007/bf03032679 · Cited by 25 · see citing works

Forms of manganese as influenced by organic matter and iron oxide

Misra, S. G., & Mishra, P. C. (1969) · Plant and Soil · doi:10.1007/bf01885261 · Cited by 10 · see citing works

Reactivity of Manganese Sulphate From Sumbawa Manganese Ore With Precipitating Agent: Theoretical and Experimental Evaluation

Kusumaningrum, R., Widayatno, W. B., Wismogroho, A. S., et al. (2019) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1191/1/012052 · Cited by 4 · see citing works