Towards a smarter battery management system: a critical review on battery state of health monitoring methods
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To date, few review papers on SOH and RUL estimation have been published; some focus on one aspect alone.
“To date, a few review papers on SOH and RUL estimation have been published, summarized in Table 1.Some [3,[18][19][20] focus on one aspect (SOH or RUL) alone.”
From Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019) · cites this paper as [18]
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Physiological time-series analysis using approximate entropy and sample entropy
Richman, J. S., & Moorman, J. R. (2000) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.2000.278.6.h2039 · Cited by 7,880 · see citing works
Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell
Doyle, M., Fuller, T. F., & Newman, J. (1993) · Journal of The Electrochemical Society · doi:10.1149/1.2221597 · Cited by 4,328 · see citing works
Deo, R. C. (2015) · Circulation · doi:10.1161/circulationaha.115.001593 · Cited by 3,466 · see citing works
Simulation and Optimization of the Dual Lithium Ion Insertion Cell
Fuller, T. F., Doyle, M., & Newman, J. (1994) · Journal of The Electrochemical Society · doi:10.1149/1.2054684 · Cited by 2,057 · 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
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
Critical review of state of health estimation methods of Li-ion batteries for real applications
Berecibar, M., Gandiaga, I., Villarreal, I., Omar, N., Van Mierlo, J., & Van den Bossche, P. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.11.042 · Cited by 1,126 · see citing works
Synthesize battery degradation modes via a diagnostic and prognostic model
Dubarry, M., Truchot, C., & Liaw, B. Y. (2012) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.07.016 · Cited by 1,065 · see citing works
Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles
Xiong, R., Cao, J., Yu, Q., He, H., & Sun, F. (2017) · IEEE Access · doi:10.1109/access.2017.2780258 · Cited by 1,022 · see citing works
Self-citationWaag, W., Käbitz, S., & Sauer, D. U. (2013) · Applied Energy · doi:10.1016/j.apenergy.2012.09.030 · Cited by 987 · see citing works
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
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
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
Measuring complexity using FuzzyEn, ApEn, and SampEn
Chen, W., Zhuang, J., Yu, W., & Wang, Z. (2008) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2008.04.005 · Cited by 725 · see citing works
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
Identify capacity fading mechanism in a commercial LiFePO4 cell
Dubarry, M., & Liaw, B. Y. (2009) · Journal of Power Sources · doi:10.1016/j.jpowsour.2009.05.036 · Cited by 675 · see citing works
Nuhic, A., Terzimehic, T., Soczka-Guth, T., Buchholz, M., & Dietmayer, K. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.11.146 · Cited by 664 · see citing works
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
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 · see citing works
Xiong, R., Cao, J., & Yu, Q. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.11.072 · Cited by 566 · see citing works
Self-citationHu, C. K., Youn, B. D., & Chung, J. (2011) · Applied Energy · doi:10.1016/j.apenergy.2011.08.002 · Cited by 561 · see citing works
Weng, C., Cui, Y., Sun, J., & Peng, H. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.02.012 · Cited by 561 · see citing works
Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs
Plett, G. L. (2006) · Journal of Power Sources · doi:10.1016/j.jpowsour.2006.06.004 · Cited by 547 · see citing works
Andre, D., Meiler, M., Steiner, K., Walz, H., Soczka‐Guth, T., & Sauer, D. U. (2010) · Journal of Power Sources · doi:10.1016/j.jpowsour.2010.07.071 · Cited by 546 · see citing works
Li, Y., Abdel-Monem, M., Gopalakrishnan, R., Berecibar, M., Nanini-Maury, E., Omar, N., van den Bossche, P., & Van Mierlo, J. (2018) · Journal of Power Sources · doi:10.1016/j.jpowsour.2017.10.092 · Cited by 531 · see citing works
Xiong, R., Sun, F., Chen, Z., & He, H. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.07.061 · Cited by 529 · see citing works
Self-citationFarmann, A., Waag, W., Marongiu, A., & Sauer, D. U. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2015.01.129 · Cited by 472 · 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
He, H., Xiong, R., Guo, H., & Li, S. (2012) · Energy Conversion and Management · doi:10.1016/j.enconman.2012.04.014 · Cited by 464 · see citing works
Self-citationEddahech, 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
Xiong, R., Zhang, Y., Wang, J., He, H., Peng, S., & PECHT, M. G. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2018.2864688 · Cited by 450 · see citing works
Self-citationAdvanced mathematical methods of SOC and SOH estimation for lithium-ion batteries
Andre, D., Appel, C., Soczka-Guth, T., & Sauer, D. U. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.10.001 · Cited by 428 · see citing works
Identifying battery aging mechanisms in large format Li ion cells
Dubarry, M., Liaw, B. Y., Chen, M.-S., Chyan, S.-S., Han, K.-C., Sie, W.-T., & Wu, S.-H. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2010.07.029 · Cited by 417 · see citing works
Galeotti, M., Cinà, L., Giammanco, C., Cordiner, S., & Di Carlo, A. (2015) · Energy · doi:10.1016/j.energy.2015.05.148 · Cited by 412 · see citing works
Chiang, Y., Sean, W., & Ke, J.-C. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.01.005 · Cited by 393 · 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
Remmlinger, J., Buchholz, M., Meiler, M., Bernreuter, P., & Dietmayer, K. (2010) · Journal of Power Sources · doi:10.1016/j.jpowsour.2010.08.035 · Cited by 392 · see citing works
Battery cycle life prediction with coupled chemical degradation and fatigue mechanics
Deshpande, R., Verbrugge, M., Cheng, Y.-T., Wang, J., & Liu, P. (2012) · Journal of The Electrochemical Society · doi:10.1149/2.049210jes · Cited by 389 · see citing works
Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles
He, H., Xiong, R., & Guo, H. (2012) · Applied Energy · doi:10.1016/j.apenergy.2011.08.005 · Cited by 388 · see citing works
Self-citationKlass, V., Behm, M., & Lindbergh, G. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.07.116 · Cited by 381 · see citing works
Weng, C., Sun, J., & Peng, H. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.02.026 · Cited by 377 · see citing works
Ouyang, M., Chu, Z., Lu, L., Li, J., Han, X., Feng, X., & Liu, G. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2015.03.178 · Cited by 376 · see citing works
Petit, M., Prada, E., & Sauvant-Moynot, V. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.03.119 · Cited by 334 · see citing works
Xiong, R., Li, L., Li, Z., Yu, Q., & Mu, H. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.03.053 · Cited by 326 · see citing works
Self-citationWeng, C., Feng, X., Sun, J., & Peng, H. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.07.126 · Cited by 324 · see citing works
Real-time state-of-health estimation for electric vehicle batteries: a data-driven approach
You, G.-W., Park, S., & Oh, D. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.05.051 · Cited by 314 · see citing works
Dong, H., Jin, X., Lou, Y., & Wang, C. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.07.176 · Cited by 310 · see citing works
Zheng, L., Zhang, L., Zhu, J. G., Wang, G., & Jiang, J. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.08.016 · Cited by 303 · see citing works
Han, X., Ouyang, M., Lu, L., & Li, J. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.06.111 · Cited by 302 · see citing works
Forman, J. C., Moura, S. J., Stein, J. L., & Fathy, H. K. (2012) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.03.009 · Cited by 301 · see citing works
Xiong, R., Yu, Q., Wang, L. Y., & Lin, C. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.05.136 · Cited by 293 · see citing works
Self-citationA Double-Scale, Particle-Filtering, Energy State Prediction Algorithm for Lithium-Ion Batteries
Xiong, R., Zhang, Y., He, H., Zhou, X., & Pecht, M. G. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2733475 · Cited by 285 · see citing works
Self-citationXiong, R., Tian, J., Mu, H., & Wang, C. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.05.124 · Cited by 283 · see citing works
Self-citationChen, Z., Mi, C. C., Fu, Y., Xu, J., & Gong, X. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.03.158 · Cited by 280 · see citing works
State of health and charge measurements in lithium-ion batteries using mechanical stress
Cannarella, J., & Arnold, C. B. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.07.003 · Cited by 278 · see citing works
Tian, J., Xiong, R., & Yu, Q. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2018.2798606 · Cited by 267 · see citing works
Self-citationOn-board state of health estimation of LiFePO4 battery pack through differential voltage analysis
Wang, L., Pan, C., Liu, L., Cheng, Y., & Zhao, X. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.01.125 · Cited by 266 · see citing works
Cycle-Life Characterization of Automotive Lithium-Ion Batteries with LiNiO[sub 2] Cathode
Zhang, Y., & Wang, C. (2009) · Journal of The Electrochemical Society · doi:10.1149/1.3126385 · Cited by 264 · see citing works
Han, X., Ouyang, M., Lu, L., & Li, J. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.08.089 · Cited by 259 · see citing works
Schwunk, S., Armbruster, N., Straub, S., Kehl, J., & Vetter, M. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.10.058 · Cited by 250 · see citing works
Zhang, Y., Xiong, R., He, H., & PECHT, M. G. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2018.2808918 · Cited by 243 · see citing works
Self-citationMulti-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery
Zou, C., Manzie, C. G., Nešić, D., & Kallapur, A. G. (2016) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.10.040 · Cited by 235 · 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
Xiong, R., Sun, F., Gong, X., & Gao, C. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.09.006 · Cited by 229 · see citing works
Self-citationYu, Q., Xiong, R., Lin, C. W., Shen, W., & Deng, J. (2017) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2709326 · Cited by 229 · see citing works
Self-citationExtension of physics-based single particle model for higher charge–discharge rates
Rahimian, S. K., Rayman, S. C., & White, R. E. (2012) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.09.084 · Cited by 223 · see citing works
Lithium battery aging model based on Dakin’s degradation approach
Baghdadi, I., Briat, O., Delétage, J.-Y., Gyan, P., & Vinassa, J.-M. (2016) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.06.036 · Cited by 221 · see citing works
Yang, R., Xiong, R., He, H., & Chen, Z. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.03.259 · Cited by 218 · see citing works
Self-citationXiong, R., Chen, H., Wang, C., & Sun, F. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.08.134 · Cited by 217 · see citing works
Self-citationWang, Z., Ma, J., & Zhang, L. (2017) · IEEE Access · doi:10.1109/access.2017.2759094 · Cited by 205 · see citing works
Wright, R. B., Motloch, C. G., Belt, J. R., Christophersen, J. P., Ho, C. D., Richardson, R. A., Bloom, I., Jones, S. A., Battaglia, V., Henriksen, G. L., et al. (2002) · Journal of Power Sources · doi:10.1016/s0378-7753(02)00210-0 · Cited by 197 · see citing works
Hua, Y., Cordoba-Arenas, A., Warner, N., & Rizzoni, G. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2015.01.112 · Cited by 183 · see citing works
Determination of lithium-ion battery state-of-health based on constant-voltage charge phase
Eddahech, A., Briat, O., & Vinassa, J.-M. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.02.020 · Cited by 167 · see citing works
The 25th Annual Conference of the IEEE Industrial Electronics Society (IECON '99)
秀紀, 橋. (2000) · Journal of the Robotics Society of Japan · doi:10.7210/jrsj.18.809 · Cited by 153 · see citing works
Automatic ultrasonic inspection for internal defect detection in composite materials
D’Orazio, T., Leo, M., Distante, A., et al. (2007) · NDT & E International · doi:10.1016/j.ndteint.2007.08.001 · Cited by 145 · see citing works
Zenati, A., Desprez, P., & Razik, H. (2010) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon.2010.5675408 · Cited by 144 · see citing works
A study of lithium ion batteries cycle aging by thermodynamics techniques
Maher, K., & Yazami, R. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.08.053 · Cited by 139 · see citing works
A generic model-free approach for lithium-ion battery health management
Bai, G., Wang, P., Hu, C. K., & PECHT, M. G. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.08.059 · Cited by 134 · see citing works
Yang, R., Xiong, R., He, H., Mu, H., & Wang, C. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.05.183 · Cited by 132 · see citing works
Self-citationXiong, R., Duan, Y., Cao, J., & Yu, Q. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.02.128 · Cited by 118 · see citing works
Self-citationFu, R., Choe, S.-Y., Agubra, V., & Fergus, J. W. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.03.045 · Cited by 115 · see citing works
2022 30th European Signal Processing Conference (EUSIPCO)
(2022) · doi:10.23919/eusipco55093.2022 · Cited by 115 · see citing works
A review of stochastic battery models and health management
Tao, L., Ma, J., Cheng, Y., Noktehdan, A., Chong, J., & Lü, C. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.05.127 · Cited by 111 · see citing works
Cui, Y., Zuo, P., Du, C., Gao, Y., Yang, J. R., Cheng, X., Ma, Y., & Yin, G. (2017) · Energy · doi:10.1016/j.energy.2017.12.033 · Cited by 111 · see citing works
State of health assessment for lithium batteries based on voltage–time relaxation measure
Baghdadi, I., Briat, O., Gyan, P., & Vinassa, J. M. (2016) · Electrochimica Acta · doi:10.1016/j.electacta.2016.02.109 · Cited by 108 · see citing works
Life cycle assessment of lithium-air battery cells
Zackrisson, M., Fransson, K., Hildenbrand, J., Lampič, G., & O’Dwyer, C. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.06.104 · Cited by 108 · see citing works
Stetzel, K. D., Aldrich, L. L., Trimboli, M. S., & Plett, G. L. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.11.135 · Cited by 106 · see citing works
Modeling the capacity degradation of LiFePO4/graphite batteries based on stress coupling analysis
Li, Z., Lu, L., Ouyang, M., & Xiao, Y. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.07.080 · Cited by 104 · see citing works
Ma, Z., Wang, Z., Xiong, R., & Jiang, J. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.05.074 · Cited by 85 · see citing works
Self-citationGraphite surface disorder detection using in situ Raman microscopy
Hardwick, L. J., Buqa, H., & Novák, P. (2006) · Solid State Ionics · doi:10.1016/j.ssi.2006.03.032 · Cited by 81 · see citing works
Guo, X., Kang, L., Yao, Y., Zhizhen, H., & Li, W. (2016) · Energies · doi:10.3390/en9020100 · Cited by 80 · see citing works
EIS Measurements for Determining the SoC and SoH of Li-Ion Batteries
Mingant, R., Bernard, J., Sauvant-Moynot, V., Delaille, A., Mailley, S., Hognon, J.-L., & Huet, F. (2011) · ECS Transactions · doi:10.1149/1.3589920 · Cited by 78 · see citing works
di Scalea, F. L., Rizzo, P., Coccia, S., et al. (2005) · Insight - Non-Destructive Testing and Condition Monitoring · doi:10.1784/insi.47.6.346.66449 · Cited by 75 · see citing works
Fuzzy logic modeling of EIS measurements on lithium-ion batteries
Singh, P., Vinjamuri, R., Wang, X., & Reisner, D. (2006) · Electrochimica Acta · doi:10.1016/j.electacta.2005.02.143 · Cited by 73 · see citing works
Health monitoring of lithium-ion batteries
Sood, B., Osterman, M. D., & PECHT, M. G. (2013) · IEEE Symposium on Product Compliance Engineering (ISPCE) · doi:10.1109/ispce.2013.6664165 · Cited by 72 · see citing works
Study of the storage performance of a Li-ion cell at elevated temperature
Li, J. Z., Zhang, J., Zhang, X., et al. (2009) · Electrochimica Acta · doi:10.1016/j.electacta.2009.09.077 · Cited by 71 · see citing works
Adaptive PDE Observer for Battery SOC/SOH Estimation
Moura, S. J., Krstić, M., & Chaturvedi, N. A. (2012) · doi:10.1115/dscc2012-movic2012-8800 · Cited by 66 · see citing works
Li, J., Lyu, C., Wang, L., Zhang, L., & Li, C. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.06.133 · Cited by 62 · see citing works
USABC and PNGV test procedures
Duong, T. Q. (2000) · Journal of Power Sources · doi:10.1016/s0378-7753(00)00439-0 · Cited by 60 · see citing works
Battery state of health monitoring by estimation of the number of cyclable Li-ions
Zhou, X., Stein, J. L., & Ersal, T. (2017) · Control Engineering Practice · doi:10.1016/j.conengprac.2017.05.009 · Cited by 60 · see citing works
Li-ion Battery State of Health Estimation based on an improved Single Particle model
Lotfi, N., Li, J., Landers, R. G., & Park, J. (2017) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc.2017.7962935 · Cited by 50 · see citing works
Non-Destructive Analysis of Degradation Mechanisms in Cycle-Aged Graphite/LiCoO2 Batteries
Zhang, L., Wang, L., Lyu, C., Li, J., & Zheng, J. (2014) · Energies · doi:10.3390/en7106282 · Cited by 49 · see citing works
Yu, Q., Xiong, R., & Lin, C. W. (2017) · Energy Procedia · doi:10.1016/j.egypro.2017.03.600 · Cited by 48 · see citing works
Self-citationDey, S., Ayalew, B., & Pisu, P. (2014) · International Workshop on Variable Structure Systems · doi:10.1109/vss.2014.6881140 · Cited by 46 · see citing works
On-line battery identification for electric driving range prediction
Kessels, J. T. B. A., Rosca, B., Bergveld, H. J., & van den Bosch, P. P. J. (2011) · IEEE Vehicle Power and Propulsion Conference (VPPC) · doi:10.1109/vppc.2011.6043022 · Cited by 46 · see citing works
Zhang, C., Zhang, Chengning, Liu, Jia-zhong, & Sharkh (2010) · ePrints Soton (University of Southampton) · doi:10.3772/j.issn.1006-6748.2010.01.002 · Cited by 37 · see citing works
Optimal charge rates for a lithium ion cell
Rahimian, S. K., Rayman, S. C., & White, R. E. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.07.019 · Cited by 31 · see citing works
The Application of UKF Algorithm for 18650-type Lithium Battery SOH Estimation
Chen, Z. P., & Wang, Q. T. (2014) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.519-520.1079 · Cited by 27 · see citing works
Gao, J., Zhang, Y., & He, H. (2015) · Energies · doi:10.3390/en8088594 · Cited by 27 · see citing works
State of Health Estimation for Lithium-ion Battery Based on D-UKF
Wang, Q., Jiang, Y., & Lu, Y. (2015) · International Journal of Hybrid Information Technology · doi:10.14257/ijhit.2015.8.7.06 · Cited by 27 · see citing works
Capacity estimation for Li-ion batteries
Tang, X., Mao, X., Lin, J. G., et al. (2011) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2011.5991410 · Cited by 24 · see citing works
A Score Function for Optimizing the Cycle-Life of Battery-Powered Embedded Systems
Wognsen, E. R., Haverkort, B. R. H. M., Jongerden, M. R., Hansen, R. R., & Larsen, K. G. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-22975-1_20 · Cited by 24 · see citing works
Machine Learning on imbalanced data in Credit Risk
Birla, S., Kohli, K., & Dutta, A. (2016) · IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) · doi:10.1109/iemcon.2016.7746326 · Cited by 23 · see citing works
The SOH estimation of LiFePO4 battery based on internal resistance with Grey Markov Chain
Zhu, M., Hu, W., & Kar, N. C. (2016) · IEEE Transportation Electrification Conference and Expo · doi:10.1109/itec.2016.7520192 · Cited by 22 · see citing works
Bartlett, A., Marcicki, J., Onori, S., et al. (2013) · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes · doi:10.1109/cdc.2013.6761126 · Cited by 21 · see citing works
A new SOH prediction model for lithium-ion battery for electric vehicles
Han, H., Xu, H., Yuan, Z., & Shen, Y. (2014) · International Conference on Electrical Machines and Systems (ICEMS) · doi:10.1109/icems.2014.7013631 · Cited by 18 · see citing works
Einhorn, M., Conte, F. V., Kral, C., & Fleig, J. (2010) · IEEE International Conference on Sustainable Energy Technologies · doi:10.1109/icset.2010.5684928 · Cited by 16 · see citing works
Ye, M., Guo, H., Xiong, R., & Mu, H. (2017) · Energy Procedia · doi:10.1016/j.egypro.2017.03.976 · Cited by 16 · see citing works
Self-citationTowards Onboard Li-ion Battery State-of-health Diagnosis by a Virtual Sensor
Mingant, R., Bernard, J., & Sauvant-Moynot, V. (2012) · World Electric Vehicle Journal · doi:10.3390/wevj5020405 · Cited by 10 · see citing works
Relman, A. S. (1980) · New England Journal of Medicine · doi:10.1056/nejm198004033021410 · Cited by 7 · see citing works
NON-NEGATIVE PRE-IMAGE IN MACHINE LEARNING FOR PATTERN RECOGNITION
Kallas, M., Honeiné, P., Richard, C., et al. (2011) · Cited by 7 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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
“(2018) [18] General review on SOH estimation methods Berecibar et al.”
BackgroundPredicting the state of charge and health of batteries using data-driven machine learning
Ng, M.-F., Zhao, J., Yan, Q., Conduit, G. J., & Seh, Z. W. (2020) · Nature Machine Intelligence · doi:10.1038/s42256-020-0156-7 · Cited by 793 · see citing works
Wang, Z., Feng, G., Zhen, D., Gu, F., & Ball, A. (2021) · Energy Reports · doi:10.1016/j.egyr.2021.08.113 · Cited by 441 · 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
Tan, Y., & Zhao, G. (2020) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2019.2946551 · Cited by 376 · see citing works
5G-based smart healthcare network: architecture, taxonomy, challenges and future research directions
Ahad, A., Tahir, M., & Yau, K.-L. A. (2019) · IEEE Access · doi:10.1109/access.2019.2930628 · Cited by 352 · see citing works
Ma, Y., Shan, C., Gao, J., & Chen, H. (2022) · Energy · doi:10.1016/j.energy.2022.123973 · Cited by 351 · see citing works
End-of-life or second-life options for retired electric vehicle batteries
Zhu, J., Mathews, I., Ren, D., Li, W., Cogswell, D., Xing, B., Sedlatschek, T., Kantareddy, S. N. R., Yi, M., Gao, T., et al. (2021) · Cell Reports Physical Science · doi:10.1016/j.xcrp.2021.100537 · Cited by 306 · see citing works
Yang, N., Song, Z., Hofmann, H., & Sun, J. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2021.103857 · Cited by 276 · see citing works
Review of energy storage systems for vehicles based on technology, environmental impacts, and costs
Balali, Y., & Stegen, S. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.110185 · Cited by 260 · see citing works
Berger, K., Schöggl, J.-P., & Baumgartner, R. J. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.131492 · Cited by 216 · see citing works
Qian, C., Xu, B., Chang, L., Sun, B., Feng, Q., Yang, D., Ren, Y., & Wang, Z. (2021) · Energy · doi:10.1016/j.energy.2021.120333 · Cited by 193 · see citing works
An overview of data-driven battery health estimation technology for battery management system
Chen, M., Ma, G., Liu, W., Zeng, N., & Luo, X. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.02.031 · Cited by 172 · see citing works
Hong, J., Wang, Z., Chen, W., Wang, L., Lin, P., & Qu, C. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.125814 · Cited by 166 · see citing works
A review on rapid state of health estimation of lithium-ion batteries in electric vehicles
Wang, Z., Zhao, X., Fu, L., Zhen, D., Gu, F., & Ball, A. D. (2023) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2023.103457 · Cited by 107 · see citing works
Li, A. G., West, A. C., & Preindl, M. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.119030 · Cited by 93 · see citing works
Su, L., Xu, Y., & Dong, Z. (2024) · Energy Conversion and Economics · doi:10.1049/enc2.12125 · Cited by 86 · see citing works
Ouyang, T., Su, Y., Wang, C., & Jin, S. (2024) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2024.3398010 · Cited by 74 · see citing works
Echelon Utilization of Retired Power Lithium-Ion Batteries: Challenges and Prospects
Wang, N., Garg, A., Su, S., Mou, J., Gao, L., & Li, W. (2022) · Batteries · doi:10.3390/batteries8080096 · Cited by 72 · see citing works
Xu, X., Yu, C., Tang, S., Sun, X., Si, X., & Wu, L. (2019) · IEEE Access · doi:10.1109/access.2019.2923095 · Cited by 64 · see citing works
Chen, Z., Zhang, S., Shi, N., Li, F., Wang, Y., & Cui, J. (2022) · Applied Soft Computing · doi:10.1016/j.asoc.2022.109615 · Cited by 63 · see citing works
SOC and SOH Joint Estimation of Lithium-Ion Battery Based on Improved Particle Filter Algorithm
Wu, T., Liu, S., Wang, Z., & Huang, Y. (2022) · Journal of Electrical Engineering & Technology · doi:10.1007/s42835-021-00861-y · Cited by 61 · see citing works
Li, X., Yuan, C., Wang, Z., & Xie, J. (2022) · Energy · doi:10.1016/j.energy.2021.122206 · Cited by 56 · see citing works
Bian, C., Yang, S., Liu, J., & Zio, E. (2022) · Applied Soft Computing · doi:10.1016/j.asoc.2021.108401 · Cited by 55 · see citing works
Dineva, A. (2024) · Batteries · doi:10.3390/batteries10100356 · Cited by 52 · 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
Health prognosis via feature optimization and convolutional neural network for lithium-ion batteries
Lin, M., Ke, L., Wang, W., Meng, J., Guan, Y., & Wu, J. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.108666 · Cited by 44 · see citing works
Battery state estimation methods and management system under vehicle–cloud collaboration: A Survey
Mei, P., Karimi, H. R., Xie, J., Chen, F., Ou, L., Yang, S., & Huang, C. (2024) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2024.114857 · Cited by 29 · see citing works
Pohlmann, S., Mashayekh, A., Stroebl, F., Karnehm, D., Kuder, M., Neve, A., & Weyh, T. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.111649 · Cited by 32 · see citing works
Lyu, Z., Wu, L., Lyu, M., Yang, J., & Li, X. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.113827 · Cited by 28 · see citing works
Masaud, T. M., & El-Saadany, E. (2023) · IEEE Systems Journal · doi:10.1109/jsyst.2023.3285147 · Cited by 26 · see citing works
Zhang, Y., Zhao, B., Zhang, W., Zhu, Y., Zhang, C., & Zhang, J. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.114597 · Cited by 13 · see citing works
Li, Z., Ni, H., Zhu, W., Ni, B., Chang, J., & Cao, J. (2026) · Journal of Power Electronics · doi:10.1007/s43236-025-01064-8 · Cited by 11 · see citing works
Yuan, C., Bao, Z., Li, W., Liu, Z., Zhao, X., & Jiao, K. (2025) · SAE Technical Paper Series · doi:10.4271/2025-01-7015 · Cited by 2 · see citing works
- Authors
- Xiong, R., Li, L., & Tian, J.
- Affiliations
- Beijing Institute of Technology (CN)
- Corresponding author
- Xiong, Rui
- Venue
- Journal of Power Sources
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 405
- Pages
- 18-29
- ISSN
- 0378-7753 (ISSN-L)
- OpenAlex
- W2896294159
- Cited by
- 1,017
- References
- 122
- Citations by year
- 2026: 131 · 2025: 153 · 2024: 157 · 2023: 154 · 2022: 142 · 2021: 126 · 2020: 78 · 2019: 71 · 2018: 5
- FWCI
- 37.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Power Sources (publishedVersion)
- Funders
- National Natural Science Foundation of China (51507012)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Keywords
- battery state of health, battery management systems, electric vehicles, battery degradation, model-based estimation, parameter estimation, battery model
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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