Lithium-Ion Battery Management System for Electric Vehicles

doi:10.23940/ijpe.18.12.p28.31843194

Abstract

Abstract:

Lithium-ion batteries have been widely used as energy storage for electric vehicles (EV) due to their high power density and long lifetime. The high capacity and large quantity of battery cells in EV as well as the high standards of vehicle safety and reliability call for the agile and adaptive battery management system (BMS). BMS is one of the key technologies for electric vehicle development, which contributes to the overall performance of lithium-ion batteries in operations. Through a comprehensive literature review, this paper presents a review of lithium-ion battery management systems, including the main measurement parameters within a BMS, state estimation methods, cell equalization issues, thermal management strategies and research trends and progresses. The paper discusses and highlights the key elements and challenges with recommendations in terms of the development of next generation BMS technologies.

Key words: lithium-ion battery in electric in electric vehicles, battery management system, parameters measurement, state estimation, equalization, thermal management

Linjie Li, Zhaojun Li, Jingzhou Zhao, and Wei Guo. Lithium-Ion Battery Management System for Electric Vehicles [J]. Int J Performability Eng, 2018, 14(12): 3184-3194.

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[1]	D. A. Notter, M. Gauch, R. Widmer, P. Wager, A. Stamp, R. Zah , et al., “Contribution of Li-Ion Batteries to the Environmental Impact of Electric Vehicles,” Environmental Science & Technology, Vol. 44, No. 17, pp. 6550-6, 2010 doi: 10.1021/es903729a pmid: 20695466
[2]	S. Manzetti and F. Mariasiu, “Electric Vehicle Battery Technologies: From Present State to Future Systems,” Renewable & Sustainable Energy Reviews, Vol. 51, pp. 1004-1012, 2015 doi: 10.1016/j.rser.2015.07.010
[3]	J. T. Baer, B. C. Davis, R. J. Blanyer , “Battery Management System,” WO, US5698967, 1997
[4]	N. A. Chaturvedi, R. Klein, J. Christensen, J. Ahmed, A. Kojic , “Algorithms for Advanced Battery-Management Systems,” IEEE Control Systems, Vol. 30, No. 3, pp. 49-68, 2010 doi: 10.1109/MCS.2010.936293
[5]	B. Pattipati, K. Pattipati, J. P. Christopherson, S. M. Namburu, D. V. Prokhorov, “Automotive Battery Management Systems, ” in Proceedings of 2008 IEEE Autotestcon, pp. 581-586, 2008
[6]	J. Guo, Z. J. Li, T. Keyser , “Modeling Li-Ion Battery Capacity Fade Using Designed Experiments,” in Proceedings of the 2014 Industrial and Systems Engineering Research Conference, 2014
[7]	W. He, N. Williard, C. Chen, M. Pecht , “State of Charge Estimation for Li-Ion Batteries Using Neural Network Modeling and Unscented Kalman Filter-based Error Cancellation,” International Journal of Electrical Power & Energy Systems, Vol. 62, No. 11, pp. 783-791, 2014 doi: 10.1016/j.ijepes.2014.04.059
[8]	H. Rahimi-Eichi, U. Ojha, F. Baronti, M. Chow , “Battery Management System: An Overview of its Application in the Smart Grid and Electric Vehicles,” Industrial Electronics Magazine IEEE, Vol. 7, No. 2, pp. 4-16, 2013 doi: 10.1109/MIE.2013.2250351
[9]	E. Meissner and G. Richter, “Battery Monitoring and Electrical Energy Management: Precondition for Future Vehicle Electric Power Systems,” Journal of Power Sources, Vol. 116, No. 1-2, pp. 79-98, 2003 doi: 10.1016/S0378-7753(02)00713-9
[10]	M. Einhorn, W. Roessler, J. Fleig , “Improved Performance of Serially Connected Li-Ion Batteries with Active Cell Balancing in Electric Vehicles,” IEEE Transactions on Vehicular Technology, Vol. 60, No. 6, pp. 2448-2457, 2011 doi: 10.1109/TVT.2011.2153886
[11]	C. Jiang, Z. G. Tang, J. X. Hao, H. Q. Li , “A Novel Design of Air-Cooled Battery Thermal Management System for Electric Vehicle,” Applied Mechanics & Materials, Vol. 563, pp. 362-365, 2014 doi: 10.4028/www.scientific.net/AMM.563.362
[12]	M. Jung and S. Schwunk, “High End Battery Management Systems for Renewable Energy and EV Applications,” Green, Vol. 3, No. 1, pp. 19-26, 2013
[13]	J. Grosch, E. Teuber, M. Jank, V. Lorentz, M. März, L. Frey, “Device Optimization and Application Study of Low Cost Printed Temperature Sensor for Mobile and Stationary Battery based Energy Storage Systems, ” in Proceedings of 2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE), pp. 1-7, 2015 doi: 10.1109/SEGE.2015.7324599
[14]	J. Smith, M. Hinterberger, C. Schneider, J. Koehler , “Energy Savings and Increased Electric Vehicle Range Through Improved Battery Thermal Management,” Applied Thermal Engineering, Vol. 101, pp. 647-656, 2016 doi: 10.1016/j.applthermaleng.2015.12.034
[15]	C. Heubner, C. Lämmel, N. Junker, M. Schneider, A. Michaelis , “Microscopic in-Operando Thermography at the Cross Section of a Single Lithium Ion Battery Stack,” Electrochemistry Communications, Vol. 48, pp. 130-133, 2014 doi: 10.1016/j.elecom.2014.09.007
[16]	L. H. Raijmakers, D. L. Danilov, J. P. V. Lammeren, T. J. Lammers, H. J. Bergveld, and P. H. Notten, “Non-Zero Intercept Frequency: An Accurate Method to Determine the Integral Temperature of Li-Ion Batteries,” IEEE Transactions on Industrial Electronics, Vol. 63, No. 5, pp. 3168-3178, 2016 doi: 10.1109/TIE.2016.2516961
[17]	X. Liu, C. Zheng, C. Liu, P. W. Pong , “Experimental Investigation of a Johnson Noise Thermometry Using GMR Sensor for Electric Vehicle Applications,” IEEE Sensors Journal, Vol. 18, No. 8, pp. 3098-3107, 2018 doi: 10.1109/JSEN.2018.2805309
[18]	M. Nascimento, M. S. Ferreira, J. L. Pinto , “Real Time Thermal Monitoring of Lithium Batteries with Fiber Sensors and Thermocouples: A Comparative Study,” Measurement, Vol. 111, pp. 260-263, 2017 doi: 10.1016/j.measurement.2017.07.049
[19]	S. N. Kong, C. S. Moo, Y. P. Chen, Y. C. Hsieh , “Enhanced Coulomb Counting Method for Estimating State-of-Charge and State-of-Health of Lithium-Ion Batteries,” Applied Energy, Vol. 86, No. 9, pp. 1506-1511, 2009 doi: 10.1016/j.apenergy.2008.11.021
[20]	E. Leksono, I. N. Haq, M. Iqbal, F. X. N. Soelami, and I. G. N. Merthayasa, “State of Charge (SoC) Estimation on LiFePO₄ Battery Module Using Coulomb Counting Methods with Modified Peukert. Joint,” in Proceedings of IEEE International Conference on Rural Information & Communication Technology and Electric-Vehicle Technology, pp. 1-4, 2014 doi: 10.1109/rICT-ICeVT.2013.6741545
[21]	T. Dong, J. Li, F. Zhao, Y. You, Q. Jin, “Analysis on the Influence of Measurement Error on State of Charge Estimation of LiFePO₄ Power Battery, ” in Proceedings of 2011 International Conference on Materials for Renewable Energy & Environment, pp. 644-649, 2011 doi: 10.1109/ICMREE.2011.5930893
[22]	X. Tang, Y. Wang, Z. Chen , “A Method for State-of-Charge Estimation of LiFePO₄, Batteries based on a Dual-Circuit State Observer,” Journal of Power Sources (ISSN), Vol. 296, pp. 23-29, 2015 doi: 10.1016/j.jpowsour.2015.07.028
[23]	Roscher, A. Michael, D. U. Sauer, “Dynamic Electric Behavior and Open-Circuit-Voltage Modeling of LiFePO₄ -based Lithium ion Secondary Batteries,” Journal of Power Sources, Vol. 196, No. 1, pp. 331-336, 2011
[24]	L. Zheng, L. Zhang, J. Zhu, G. Wang, J. Jiang , “Co-Estimation of State-of-Charge, Capacity and Resistance for Lithium-Ion Batteries based on a High-Fidelity Electrochemical Model,” Applied Energy, Vol. 180, pp. 424-434, 2016 doi: 10.1016/j.apenergy.2016.08.016
[25]	Y. Zhang, W. Song, S. Lin, Z. Feng , “A Novel Model of the Initial State of Charge Estimation for LiFePO₄ Batteries,” Journal of Power Sources, Vol. 248, No. 4, pp. 1028-1033, 2014 doi: 10.1016/j.jpowsour.2013.09.135
[26]	M. Chen and G. A. Rincon-Mora, “Accurate Electrical Battery Model Capable of Predicting Runtime and i-v Performance,” IEEE Transactions on Energy Conversion, Vol. 21, No. 2, pp. 504-511, 2006 doi: 10.1109/TEC.2006.874229
[27]	H. Rahimi-Eichi, F. Baronti, M. Y. Chow , “Online Adaptive Parameter Identification and State-of-Charge Coestimation for Lithium-Polymer Battery Cells,” IEEE Transactions on Industrial Electronics, Vol. 61, No. 4, pp. 2053-2061, 2013 doi: 10.1109/TIE.2013.2263774
[28]	J. Li, J. K. Barillas, C. Guenther, M. A. Danzer , “A Comparative Study of State of Charge Estimation Algorithms for LiFePO₄, Batteries used in Electric Vehicles,” Journal of Power Sources, Vol. 230, No. 10, pp. 244-250, 2013 doi: 10.1016/j.jpowsour.2012.12.057
[29]	N. A. Chaturvedi, R. Klein, J. Christensen, J. Ahmed, A. Kojic , “Algorithms for Advanced Battery-Management Systems,” IEEE Control Systems, Vol. 30, No. 3, pp. 49-68, 2010 doi: 10.1109/MCS.2010.936293
[30]	B. S. Haran, B. N. Popov, R. E. White , “Determination of the Hydrogen Diffusion Coefficient in Metal Hydrides by Impedance Spectroscopy,” Journal of Power Sources, Vol. 75, No. 1, pp. 56-63, 1998 doi: 10.1016/S0378-7753(98)00092-5
[31]	S. Santhanagopalan, Q. Guo, P. Ramadass, R. E. White , “Review of Models for Predicting the Cycling Performance of Lithium Ion Batteries,” Journal of Power Sources, Vol. 156, No. 2, pp. 620-628, 2006 doi: 10.1016/j.jpowsour.2005.05.070
[32]	L. W. Kang, X. Zhao, J. Ma , “A New Neural Network Model for the State-of-Charge Estimation in the Battery Degradation Process,” Applied Energy, Vol. 121, No. 5, pp. 20-27, 2014 doi: 10.1016/j.apenergy.2014.01.066
[33]	R. H. Liu, Y. K. Sun, X. F. Ji, “Battery State of Charge Estimation for Electric Vehicle based on Neural Network, ” in Proceedings of 2011 International Conference on Information and Computer Networks, pp. 493-496, 2011 doi: 10.1109/ICCSN.2011.6013952
[34]	J. Guo and Z. J. Li , “A Mean-Covariance Decomposition Modeling Method for Battery Capacity Prognostics,” in Proceedings of the 2017 International Conference on Sensing, Prognostics, and Control, pp. 16-18, Shanghai, August 2017
[35]	M. B. Pinson and M. Z. Bazant, “Theory of SEI formation in Rechargeable Batteries: Capacity Fade, Accelerated Aging and Lifetime Prediction,” Journal of the Electrochemical Society, Vol. 160, No. 2, pp. A243-A250, 2012
[36]	J. Guo and Z. J. Li , “Prognostics of Lithium Ion Battery Using Functional Principal Component Analysis,” in Proceedings of the 2017 International Conference on Prognostics and Health Management, pp. 19-21, Allen, TX, June 2017
[37]	M. Rezvani, S. Lee, J. Lee , “A Comparative Analysis of Techniques for Electric Vehicle Battery Prognostics and Health Management (PHM),” SAE Technical Paper, 2011
[38]	Y. Lin, M. Y. Hu, X. H. Yin, J. Guo, Z. J. Li , “Evaluation of Lithium Batteries based on Continuous Hidden Markov Model,” in Proceedings of the 2017 IEEE International Conference on Software Quality, Reliability and Security Companion, pp. 25-29, Prague, Czech, July 2017 doi: 10.1109/QRS-C.2017.43
[39]	J. Guo and Z. J. Li, “Bivariate Gamma Processes for Modeling Lithium Ion Battery Aging Mechanism, ” in Proceedings of the 2017 Industrial and Systems Engineering Annual Conference, Pittsburg, PA, May 20-23 2016
[40]	D. Liu, H. Wang, Y. Peng, W. Xie, H. Liao , “Satellite Lithium-Ion Battery Remaining Cycle Life Prediction with Novel Indirect Health Indicator Extraction,” Energies, Vol. 6, No. 8, pp. 3654-3668, 2013
[41]	C. Chen and M. Pecht, “Prognostics of Lithium-Ion Batteries Using Model-based and Data-Driven Methods, ” in Proceedings of the IEEE 2012 Prognostics and System Health Management Conference, pp. 1-6, 2012
[42]	B. Saha, G. Kai, J. Christophersen , “Comparison of Prognostic Algorithms for estimating Remaining Useful Life of Batteries,” Transactions of the Institute of Measurement & Control, Vol. 31, No. 3, pp. 293-308, 2009
[43]	L. X. Liao, F. Kottig , “A hybrid framework combining data-driven and model-based methods for system remaining useful life prediction,” Applied Soft Computing, 44. C(2016):191-199.
[44]	M. Einhorn, W. Roessler, J. Fleig , “Improved Performance of Serially Connected Li-Ion Batteries with Active Cell Balancing in Electric Vehicles,” IEEE Transactions on Vehicular Technology, Vol. 60, No. 6, pp. 2448-2457, 2011
[45]	F. Baronti, G. Fantechi, E. Leonardi, R. Roncella , “Hierarchical Platform for Monitoring, Managing and Charge Balancing of LiPo Batteries,” in Proceedings of IEEE Vehicle Power and Propulsion Conference, pp. 1-6, 2011
[46]	J. Yan, Z. Cheng, G. Xu, H. Qian , “Fuzzy Control for Battery Equalization based on State of Charge,” in Proceedings of IEEE Vehicular Technology Conference Fall, Vol. 45, pp. 1-7, 2009
[47]	J. Arai, A. Matsuo, T. Fujisaki, K. Ozawa , “A Novel High Temperature Stable Lithium Salt (Li₂B₁₂F₁₂) for Lithium Ion Batteries,” Journal of Power Sources, Vol. 193, No. 2, pp. 851-854, 2009
[48]	D. Y. Jung, B.H. Lee, W.K. Sun , “Development of battery management system for nickel-metal hydride batteries in electric vehicle applications,” Journal of Power Sources, 109(1), 1-10, 2002
[49]	C. Jiang, Z. G. Tang, J. X. Hao, H. Q. Li , “A novel design of air-cooled battery thermal management system for electric vehicle,” Applied Mechanics & Materials , 563, 362-365, 2014
[50]	L. Fan, J. M. Khodadadi and A. A. Pesaran, “A parametric study on thermal management of an air-cooled lithium-ion battery module for plug-in hybrid electric vehicles,” Journal of Power Sources, 238, 301-312, 2013
[51]	A. A. Pesaran , “Battery thermal management in evs and hevs: issues and solutions”. Battery Man, 2001
[52]	M. Zolot, A. A. Pesaran, M. Mihalic , “Thermal Evaluation of Toyota Prius Battery Pack,” Future Car Congress, 2002
[53]	R. Mahamud, C. Park , “Reciprocating air flow for li-ion battery thermal management to improve temperature uniformity,” Journal of Power Sources, 196(13), 5685-5696, 2011
[54]	act: A Novel Thermal Management System for Electric Vehicle Batteries Using Phase-Change Material,” Cheminform, Vol. 32, No. 1, 2001
[55]	R. Sabbah, R. Kizilel, J. R. Selman, S. Al-Hallaj , “Active (Air-Cooled) vs. Passive (Phase Change Material) Thermal Management of High Power Lithium-Ion Packs: Limitation of Temperature Rise and Uniformity of Temperature Distribution,” Journal of Power Sources, Vol. 182, No. 2, pp. 630-638, 2008