Review of Battery Cell Balancing Methodologies for Optimizing Battery Pack Performance in Electric Vehicles
Open accessAbstract
Batteries are gaining entry into every home and office for they are widely used because of their variant benefits. However, these batteries are prone to failure caused by charge imbalance in the batteries connected in either series or parallel, which can sometimes be catastrophic and hence they require to be properly monitored in a real-time manner. There exist many battery balancing schemes which are broadly grouped into either passive or active schemes. All these schemes have their own advantages and disadvantages, and hence it is upon the user to decide on which scheme will best work for them. However, research has proven that the hybrid scheme will be the best as it couples the benefits of all schemes. This study will review the various battery cell balancing methodologies and evaluate their relationship with battery performance. At present there are a few studies tackling the mechanical vibration of battery balancing performance. This study shows that battery balancing performance during long-term should be evaluated from various temperature and vibration frequencies.
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As the number of series cells increases, electrical and functional safety considerations become stricter.
“As the number of series cells increases, electrical and functional safety considerations become stricter [38], [39].”
From A Review of Multilevel Inverter Topologies in Electric Vehicles: Current Status and Future Trends (2021) · cites this paper as [39]
In III. BATTERY CELL BALANCING (page unavailable), the review says series-connected cells raise operating voltage and that packs with more cells have a higher chance of failure. Its safety-hazards section describes the need to prevent overcharge and cascading cell failure. These passages support increased safety concerns, but do not state that electrical and functional safety requirements become stricter as cell count rises. (LLM, conf=0.82)
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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 · cited 1× · see citing works
“The lithium metal plating may occur when the batteries are charged at low temperatures (<0 C) and/or at high current charge rates, whereby, the process of lithiumion through the negative electrode decreases and typical metal oxide parts take place on the surface of the electrode [87].”
BackgroundWei, J., Dong, G., & Chen, Z. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2782224 · Cited by 643 · cited 2× · see citing works
“Ideally, every cell in a battery pack has the same chemical reaction but in reality, each cell has different chemical reaction due to the manufacturing process, internal resistance, self-discharge rate, degradation and temperature [7], [15], [69].”
BackgroundBattery management systems in electric and hybrid vehicles
Xing, Y., Ma, E. W. M., Tsui, K. L., & Pecht, M. (2011) · Energies · doi:10.3390/en4111840 · Cited by 540 · cited 1× · see citing works
“According to [95], overdischarge also causes reduced cell capacity due to irreversible chemical reactions and can cause an explosion [96].”
BackgroundOmar, N., Daowd, M., Bossche, P. V. D., Hegazy, O., Smekens, J., Coosemans, T., & Mierlo, J. V. (2012) · Energies · doi:10.3390/en5082952 · Cited by 178 · see citing works
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Research works printed but not linked: 115
- H. Liu, Z. Wei, W. He, and J. Zhao, ''Thermal issues about Li-ion batteries and recent progress in battery thermal management systems: A review,'' Energy Convers. Manag., vol. 150, pp. 304-330, Oct. 2017.
- A. Garg, X. Peng, M. L. P. Le, K. Pareek, and C. M. M. Chin, ''Design and analysis of capacity models for Lithium-ion battery,'' Measurement, vol. 120, pp. 114-120, May 2018.
- S. Rohr, S. Müller, M. Baumann, M. Kerler, F. Ebert, D. Kaden, and M. Lienkamp, ''Quantifying uncertainties in reusing lithium-ion batteries from electric vehicles,'' Proc. Manuf., vol. 8, pp. 603-610, Oct. 2017.
- Z. B. Omariba, L. Zhang, and D. Sun, ''Review on health management system for lithium-ion batteries of electric vehicles,'' Electronics, vol. 7, no. 5, p. 72, 2018.
- Z. Zhang, H. Gui, D. Gu, Y. Yang, and X. Ren, ''A hierarchical active balancing architecture for lithium-ion batteries,'' IEEE Trans. Power Electron., vol. 32, no. 4, pp. 2757-2768, Apr. 2017.
- H. Rahimi-Eichi, U. Ojha, F. Baronti, and M.-Y. Chow, ''Battery man- agement system: An overview of its application in the smart grid and electric vehicles,'' IEEE Ind. Electron. Mag., vol. 7, no. 2, pp. 4-16, Jun. 2013.
- O. Capron, J. Jaguemont, R. Gopalakrishnan, P. van dem Bossche, N. Omar, and J. van Mierlo, ''Impact of the temperature in the evaluation of battery performances during long-term cycling-Characterisation and modelling,'' Appl. Sci., vol. 8, no. 8, p. 1364, 2018.
- L. Zhang, Z. Mu, and X. Gao, ''Coupling analysis and performance study of commercial 18650 lithium-ion batteries under conditions of temperature and vibration,'' Energies, vol. 11, no. 10, p. 2856, 2018.
- L. H. Saw, H. M. Poon, H. S. Thiam, Z. Cai, W. T. Chong, N. A. Pambudi, and Y. J. King, ''Novel thermal management system using mist cooling for lithium-ion battery packs,'' Appl. Energy, vol. 223, pp. 146-158, Aug. 2018.
- A. Downey, Y.-H. Lui, C. Hu, S. Laflamme, and S. Hu, ''Physics-based prognostics of lithium-ion battery using non-linear least squares with dynamic bounds,'' Rel. Eng. Syst. Saf., vol. 182, pp. 1-12, Feb. 2019.
- M. Al-Zareer, I. Dincer, and M. A. Rosen, ''Heat transfer modeling of a novel battery thermal management system,'' Numer. Heat Transf., A, Appl., vol. 73, no. 5, pp. 277-290, 2018.
- J. Schnell, T. Günther, T. Knoche, C. Vieider, L. Köhler, A. Just, M. Keller, S. Passerini, and G. Reinhart, ''All-solid-state lithium-ion and lithium metal batteries-paving the way to large-scale production,'' J. Power Sources, vol. 382, pp. 160-175, Apr. 2018.
- R. E. Lyon and R. N. Walters, ''Energetics of lithium ion battery failure,'' J. Hazardous Mater., vol. 318, pp. 164-172, Nov. 2016.
- V. H. Johnson, ''Battery performance models in ADVISOR,'' J. Power Sources, vol. 110, no. 2, pp. 321-329, 2002.
- M. Rahman, M. M. Rashid, A. Rahman, A. H. M. Z. Alam, S. Ihsan, and M. S. Mollik, ''Analysis of the internal temperature of the cells in a battery pack during SoC balancing,'' in Proc. IOP Conf. Ser. Mater. Sci. Eng., 2017, no. 184, Art. no. 012014.
- O. Tremblay and L.-A. Dessaint, ''Experimental validation of a battery dynamic model for EV applications,'' World Electr. Vehicle J., vol. 3, pp. 289-298, May 2009.
- G. Liu, M. Ouyang, L. Lu, J. Li, and X. Han, ''Analysis of the heat gener- ation of lithium-ion battery during charging and discharging considering different influencing factors,'' J. Therm. Anal. Calorimetry, vol. 116, no. 2, pp. 1001-1010, 2014.
- L. Zhang, Z. Ning, H. Peng, Z. Mu, and C. Sun, ''Effects of vibration on the electrical performance of lithium-ion cells based on mathematical statistics,'' Appl. Sci., vol. 7, no. 8, p. 802, 2017.
- M. Dubarry, A. Devie, and B. Y. Liaw, ''Cell-balancing currents in par- allel strings of a battery system,'' J. Power Sources, vol. 321, pp. 36-46, Jul. 2016.
- G. Qi, X. Li, and D. Yang, ''A control strategy for dynamic balancing of lithium iron phosphate battery based on the performance of cell voltage,'' in Proc. IEEE Conf. Expo Transp. Electrific. Asia-Pacific (ITEC Asia- Pacific), Aug./Sep. 2014, pp. 1-5.
- M. Bowkett, K. Thanapalan, T. Stockley, M. Hathway, and J. Williams, ''Design and implementation of an optimal battery management system for hybrid electric vehicles,'' in Proc. 19th Int. Conf. Automat. Comput., Sep. 2013, pp. 1-5.
- M. M. Hoque, M. A. Hannan, and A. Mohamed, ''Voltage equaliza- tion control algorithm for monitoring and balancing of series connected lithium-ion battery,'' J. Renew. Sustain. Energy, vol. 8, no. 2, 2016, Art. no. 025703.
- A. U. Schmid, L. Eringer, I. Lambidis, and K. P. Birke, ''Electrochemical balancing of lithium-ion cells by nickel-based cells,'' J. Power Sources, vol. 367, pp. 49-56, Nov. 2017.
- J. Xu, S. Li, C. Mi, Z. Chen, and B. Cao, ''SoC based battery cell bal- ancing with a novel topology and reduced component count,'' Energies, vol. 6, no. 6, pp. 2726-2740, 2013.
- G. Carpinelli, F. Mottola, D. Proto, and P. Varilone, ''Minimizing unbalances in low-voltage microgrids: Optimal scheduling of distributed resources,'' Appl. Energy, vol. 191, pp. 170-182, Apr. 2017.
- W. Han and L. Zhang, ''Battery cell reconfiguration to expedite charge equalization in series-connected battery systems,'' IEEE Robot. Autom. Lett., vol. 3, no. 1, pp. 22-28, Jan. 2018.
- M. F. Samadi and M. Saif, ''Nonlinear model predictive control for cell balancing in Li-ion battery packs,'' in Proc. Amer. Control Conf. (ACC), Jun. 2014, pp. 2924-2929.
- X. Cui, W. Shen, Y. Zhang, C. Hu, and J. Zheng, ''Novel active LiFePO 4 battery balancing method based on chargeable and dischargeable capac- ity,'' Comput. Chem. Eng., vol. 97, pp. 27-35, Feb. 2017.
- N. Lotfi, P. Fajri, S. Novosad, J. Savage, R. G. Landers, and M. Ferdowsi, ''Development of an experimental testbed for research in lithium-ion battery management systems,'' Energies, vol. 6, no. 10, pp. 5231-5258, 2013.
- S. Orcioni, A. Ricci, L. Buccolini, C. Scavongelli, and M. Conti, ''Effects of variability of the characteristics of single cell on the performance of a lithium-ion battery pack,'' in Proc. 13th Workshop Intell. Solutions Embedded Syst. (WISES), Jun. 2017, pp. 15-21.
- I. D. Campbell, K. Gopalakrishnan, M. Marinescu, M. Torchio, G. J. Offer, and D. Raimondo, ''Optimising lithium-ion cell design for plug-in hybrid and battery electric vehicles,'' J. Energy Storage, vol. 22, pp. 228-238, Apr. 2019.
- M. M. Ur Rehman, M. Evzelman, K. Hathaway, R. Zane, G. L. Plett, K. Smith, E. Wood, and D. Maksimovic, ''Modular approach for con- tinuous cell-level balancing to improve performance of large battery packs,'' in Proc. IEEE Energy Convers. Congr. Expo. (ECCE), Sep. 2014, pp. 4327-4334.
- D. Oeser, A. Ziegler, and A. Ackva, ''Single cell analysis of lithium-ion e- bike batteries aged under various conditions,'' J. Power Sources, vol. 397, pp. 25-31, Sep. 2018.
- J.-C. Wu, H.-L. Jou, and P.-H. Chuang, ''Voltage equaliser for Li-Fe battery,'' Int. J. Electron., vol. 7217, no. 10, pp. 1398-1413, 2013.
- R. D. Anderson, R. Zane, G. Plett, D. Maksimovic, K. Smith, and M. S. Trimboli, ''Life balancing-A better way to balance large batteries,'' SAE Tech. Pap. Ser., vol. 1, pp. 4-6, Apr. 2017.
- L. Zheng, J. Zhu, G. Wang, D. D.-C. Lu, P. McLean, and T. He, ''Model predictive control based balancing strategy for series-connected lithium- ion battery packs,'' in Proc. 19th Eur. Conf. Power Electron. Appl. (EPE ECCE Eur.), Sep. 2017, pp. 1-8.
- A. Pröbstl, S. Park, S. Narayanaswamy, S. Steinhorst, and S. Chakraborty, ''SOH-aware active cell balancing strategy for high power battery packs,'' in Proc. Design, Automat. Test Eur. Conf. Exhib. (DATE), May 2018, pp. 431-436.
- M. Gökdag and M. Akbaba, ''An active battery cell balancing topology without using external energy storage elements,'' in Proc. 6th Int. Conf. Modeling Simulation, Appl. Optim. (ICMSAO), May 2015, pp. 4-8.
- W. Sihua, ''Cell balancing buys extra run time and battery life,'' Analog Appl. J., vol. 2009, no. 1Q, pp. 14-18, 2009.
- Y. Chen, X. Liu, H. K. Fathy, J. Zou, and S. Yang, ''A graph-theoretic framework for analyzing the speeds and efficiencies of battery pack equalization circuits,'' Int. J. Elect. Power Energy Syst., vol. 98, no. 92, pp. 85-99, 2018.
- G.-H. Min and J.-I. Ha, ''Active cell balancing algorithm for serially connected Li-Ion batteries based on power to energy ratio,'' in Proc. IEEE Energy Convers. Congr. Expo. (ECCE), Oct. 2017, pp. 2748-2753.
- J.-C. M. Lin, ''Development of a new battery management system with an independent balance module for electrical motorcycles,'' Energies, vol. 10, no. 9, p. 1289, 2017.
- V. C. Valchev, P. V. Yankov, and D. D. Stefanov, ''Improvement on LiFePO 4 cell balancing algorithm,'' TEM J., vol. 7, no. 1, pp. 19-24, 2018.
- W. Diao, N. Xue, V. Bhattacharjee, J. Jiang, O. Karabasoglu, and M. Pecht, ''Active battery cell equalization based on residual avail- able energy maximization,'' Appl. Energy, vol. 210, pp. 690-698, Jan. 2018.
- D.-H. Zhang, G.-R. Zhu, S.-J. He, S. Qiu, Y. Ma, Q.-M. Wu, and W. Chen, ''Balancing control strategy for Li-ion batteries string based on dynamic balanced point,'' Energies, vol. 8, no. 3, pp. 1830-1847, 2015.
- V. Mueller, R. Kaiser, S. Poller, D. Sauerteig, R. Schwarz, M. Wenger, V. R. H. Lorentz, and M. Maerz, ''Introduction and application of for- mation methods based on serial-connected lithium-ion battery cells,'' J. Energy Storage, vol. 14, pp. 56-61, Dec. 2017.
- J. Gallardo-Lozano, E. Romero-Cadaval, M. I. Milanes-Montero, and M. A. Guerrero-Martinez, ''Battery equalization active methods,'' J. Power Sources, vol. 246, pp. 934-949, Jan. 2014.
- J. Gallardo-Lozano, E. Romero-Cadaval, M. I. Milanes-Montero, and M. A. Guerrero-Martinez, ''A novel active battery equalization control with on-line unhealthy cell detection and cell change decision,'' J. Power Sources, vol. 299, pp. 356-370, Dec. 2015.
- V.-L. Pham, T.-T. Nguyen, D.-H. Tran, V.-B. Vu, and W. Choi, ''A new cell-to-cell fast balancing circuit for lithium-ion batteries in electric vehi- cles and energy storage system,'' in Proc. IEEE 8th Int. Power Electron. Motion Control Conf. (IPEMC-ECCE Asia), May 2016, pp. 2461-2465.
- M. Caspar and S. Hohmann, ''Optimal cell balancing with model-based cascade control by duty cycle adaption,'' IFAC Proc. Volumes, vol. 19, no. 3, pp. 10311-10318, 2014.
- J. Gallardo-Lozano, E. Romero-Cadaval, T. Jalakas, and H. Hõimoja, ''A battery cell balancing method with linear mode bypass current con- trol,'' in Proc. 14th Biennial Baltic Electron. Conf. (BEC), Oct. 2014, pp. 245-248.
- F. Ran, H. Xu, Y. Ji, J. Qin, and W. Li, ''An active balancing circuit for lithium battery management system with optoelectronic switches,'' in Proc. TENCON IEEE Region Conf., Nov. 2016, pp. 1-5.
- D. D. Quinn and T. T. Hartley, ''Design of novel charge balancing net- works in battery packs,'' J. Power Sources, vol. 240, pp. 26-32, Oct. 2013.
- B. Mondal, C. F. Lopez, A. Verma, and P. P. Mukherjee, ''Vortex genera- tors for active thermal management in lithium-ion battery systems,'' Int. J. Heat Mass Transf., vol. 124, pp. 800-815, Sep. 2018.
- K.-Y. Oh and B. I. Epureanu, ''A phenomenological force model of Li- ion battery packs for enhanced performance and health management,'' J. Power Sources, vol. 365, pp. 220-229, Oct. 2017.
- F. Baronti, R. Roncella, and R. Saletti, ''Performance comparison of active balancing techniques for lithium-ion batteries,'' J. Power Sources, vol. 267, pp. 603-609, Dec. 2014.
- F. Baronti, G. Fantechi, R. Roncella, R. Saletti, G. Pede, and F. Vellucci, ''Design of the battery management system of LiFePO 4 batteries for elec- tric off-road vehicles,'' in Proc. IEEE Int. Symp. Ind. Electron., May 2013, pp. 1-6.
- F. Altaf, L. Johannesson, and B. Egardt, ''Evaluating the potential for cell balancing using a cascaded multi-level converter using convex optimiza- tion,'' in Proc. IFAC, 2012, vol. 45, no. 30, pp. 100-107.
- C. Piao, Z. Wang, J. Cao, W. Zhang, and S. Lu, ''Lithium-ion battery cell-balancing algorithm for battery management system based on real- time outlier detection,'' Math. Problems Eng., vol. 2015, Apr. 2015, Art. no. 168529.
- Z. C. Gao, C. S. Chin, W. D. Toh, J. Chiew, and J. Jia, ''State-of-charge estimation and active cell pack balancing design of lithium battery power system for smart electric vehicle,'' J. Adv. Transp., vol. 2017, Nov. 2017, Art. no. 6510747.
- E. Loniza, J. A. Situmorang, D. D. A. Kusuma, A. I. Cahyadi, and O. Wahyunggoro, ''Passive balancing of battery lithium polymer using shunt resistor circuit method,'' in Proc. AIP Conf., vol. 1755, 2016, Art. no. 090011.
- Z. Zhang, X. Cheng, Z.-Y. Lu, and D.-J. Gu, ''SoC estimation of lithium- ion battery pack considering balancing current,'' IEEE Trans. Power Electron., vol. 33, no. 3, pp. 2216-2226, Mar. 2018.
- M. Daowd, N. Omar, P. van den Bossche, and J. van Mierlo, ''Passive and active battery balancing comparison based on MATLAB simulation,'' in Proc. IEEE Vehicle Power Propuls. Conf. (VPPC), Sep. 2011, pp. 1-7.
- T. Bruen, J. Marco, and M. Gama, ''Model based design of balancing systems for electric vehicle battery packs,'' IFAC-PapersOnLine, vol. 48, no. 15, pp. 395-402, 2015.
- A. Probstl, S. Park, S. Narayanaswamy, S. Steinhorst, and S. Chakraborty, ''SOH-aware active cell balancing strategy for high power battery packs,'' in Proc. Design, Automat. Test Eur. Conf. Exhib. (DATE), Mar. 2018, pp. 437-442.
- K. Friansa, I. N. Haq, E. Leksono, N. Tapran, D. Kurniadi, and B. Yuliarto, ''Battery module performance improvement using active cell balancing system based on switched-capacitor boost converter (S-CBC),'' in Proc. 4th Int. Conf. Electr. Veh. Technol. (ICEVT), 2017, pp. 93-99.
- W. Han and L. Zhang, ''Mathematical analysis and coordinated current allocation control in battery power module systems,'' J. Power Sources, vol. 372, pp. 166-179, Dec. 2017.
- W. F. Bentley, ''Cell balancing considerations for lithium-ion battery sys- tems,'' in Proc. 12th Annu. Battery Conf. Appl. Adv., 2002, pp. 223-226.
- Q. Ouyang, J. Chen, J. Zheng, and H. Fang, ''Optimal cell-to-cell balanc- ing topology design for serially connected Lithium-Ion battery packs,'' IEEE Trans. Sustain. Energy, vol. 9, no. 1, pp. 350-360, Jan. 2018.
- Z. Xi, R. Jing, X. Yang, and E. Decker, ''State of charge estimation of lithium-ion batteries considering model bias and parameter uncertain- ties,'' in Proc. ASME Int. Design Eng. Tech. Conf. Comput. Inf. Eng. Conf. (IDETC/CIE), 2014, pp. 1-7.
- M. Mathew, Q. H. Kong, J. McGrory, and M. Fowler, ''Simulation of lithium ion battery replacement in a battery pack for application in electric vehicles,'' J. Power Sources, vol. 349, pp. 94-104, May 2017.
- A. W. Huang and J. A. A. Qahouq, ''Energy sharing control scheme for state-of-charge balancing of distributed battery energy storage system,'' IEEE Trans. Ind. Electron., vol. 62, no. 5, pp. 2764-2776, May 2015.
- M. Preindl, ''A battery balancing auxiliary power module with predictive control for electrified transportation,'' IEEE Trans. Ind. Electron., vol. 65, no. 8, pp. 6552-6559, Aug. 2018.
- B. Lawson, ''A software configurable battery,'' in Proc. EVS26 Int. Batter. Hybrid Fuel Cell Electr. Veh. Symp., Los Angeles, CA, USA, vol. 1, 2012, pp. 252-263.
- B. Fridholm, T. Wik, and M. Nilsson, ''Kalman filter for adaptive learn- ing of look-up tables with application to automotive battery resistance estimation,'' Control Eng. Pract., vol. 48, pp. 78-86, Mar. 2016.
- S.-C. Huang, K.-H. Tseng, J.-W. Liang, C.-L. Chang, and M. G. Pecht, ''An online SoC and SOH estimation model for lithium-ion batteries,'' Energies, vol. 10, no. 4, p. 512, 2017.
- A. M. N. Spillere, A. A. Medeiros, and J. A. Cordioli, ''An improved impedance eduction technique based on impedance models and the mode matching method,'' Appl. Acoust., vol. 129, pp. 322-334, Jan. 2018.
- J. Jiang, Z. Lin, Q. Ju, Z. Ma, C. Zheng, and Z. Wang, ''Electrochemical impedance spectra for lithium-ion battery ageing considering the rate of discharge ability,'' Energy Proc., vol. 105, pp. 844-849, May 2017.
- B. Arachchige, S. Perinpanayagam, and R. Jaras, ''Enhanced prognostic model for lithium ion batteries based on particle filter state transition model modification,'' Appl. Sci., vol. 7, no. 11, p. 1172, 2017.
- X. Li, J. Jiang, C. Zhang, L. Y. Wang, and L. Zheng, ''Robustness of SoC estimation algorithms for EV lithium-ion batteries against model- ing errors and measurement noise,'' Math. Problems Eng., vol. 2015, Aug. 2015, Art. no. 719490.
- Y. Song, D. Liu, Y. Peng, C. Yang, and W. Wu, ''Self-adaptive indirect health indicators extraction within prognosis of satellite lithium-ion bat- tery,'' in Proc. Prognostics Syst. Health Manage. Conf. (PHM-Harbin), Jul. 2017, pp. 1-7.
- S. Jeon, J.-J. Yun, and S. Bae, ''Active cell balancing circuit for series- connected battery cells,'' in Proc. 9th Int. Conf. Power Electron. ECCE Asia, Jun. 2015, pp. 1182-1187.
- A. Saxena, J. R. Celaya, I. Roychoudhury, S. Saha, B. Saha, and K. Goebel, ''Designing data-driven battery prognostic approaches for variable loading profiles: Some lessons learned,'' in Proc. Eur. Conf. Progn. Heal. Manag. SoC, 2012, pp. 1-11.
- N. Bouchhima, M. Schnierle, S. Schulte, and K. P. Birke, ''Active model- based balancing strategy for self-reconfigurable batteries,'' J. Power Sources, vol. 322, pp. 129-137, Aug. 2016.
- W. He, M. Pecht, D. Flynn, and F. Dinmohammadi, ''A physics-based electrochemical model for lithium-ion battery state-of-charge estimation solved by an optimised projection-based method and moving-window filtering,'' Energies, vol. 11, no. 8, p. 2120, 2018.
- T. Huria, M. Ceraolo, J. Gazzarri, and R. Jackey, ''High fidelity electri- cal model with thermal dependence for characterization and simulation of high power lithium battery cells,'' in Proc. IEEE Int. Electr. Veh. Conf. (IEVC), Mar. 2012, pp. 1-8.
- T. Szalai, U. Schwalbe, M. Schilling, F. Endert, T. Heidrich, and S.-D. Ivanov, ''Design of an active battery management system for elec- tric vehicles,'' in Proc. PCIM Eur., May 2014, pp. 370-377.
- T. R. Ashwin, Y. M. Chung, and J. Wang, ''Capacity fade modelling of lithium-ion battery under cyclic loading conditions,'' J. Power Sources, vol. 328, pp. 586-598, Oct. 2016.
- Y. Zheng, M. Ouyang, L. Lu, J. Li, X. Han, and L. Xu, ''On-line equaliza- tion for lithium-ion battery packs based on charging cell voltages: Part 2. Fuzzy logic equalization,'' J. Power Sources, vol. 247, pp. 460-466, Feb. 2014.
- N. Yang, X. Zhang, B. Shang, and G. Li, ''Unbalanced discharging and aging due to temperature differences among the cells in a lithium-ion battery pack with parallel combination,'' J. Power Sources, vol. 306, pp. 733-741, Feb. 2016.
- Y. Gao, J. Jiang, C. Zhang, W. Zhang, Z. Ma, and Y. Jiang, ''Lithium- ion battery aging mechanisms and life model under different charging stresses,'' J. Power Sources, vol. 356, pp. 103-114, Jul. 2017.
- N. Williard, W. He, C. Hendricks, and M. Pecht, ''Lessons learned from the 787 Dreamliner issue on lithium-ion battery reliability,'' Energies, vol. 6, no. 9, pp. 4682-4695, 2013.
- T. Dong, P. Peng, and F. Jiang, ''Numerical modeling and analysis of the thermal behavior of NCM lithium-ion batteries subjected to very high C-rate discharge/charge operations,'' Int. J. Heat Mass Transf., vol. 117, pp. 261-272, Feb. 2018.
- R. A. Adams, A. Varma, and V. G. Pol, ''Temperature dependent electro- chemical performance of graphite anodes for K-ion and Li-ion batteries,'' J. Power Sources, vols. 410-411, pp. 124-131, Jan. 2019.
- X. Gong, R. Xiong, and C. C. Mi, ''Study of the characteristics of battery packs in electric vehicles with parallel-connected lithium-ion battery cells,'' IEEE Trans. Ind. Appl., vol. 51, no. 2, pp. 1872-1879, Mar./Apr. 2015.
- Y. Barsukov, Battery Cell Balancing: What to Balance and How. Dallas, TX, USA: Texas Instruments, 2005, pp. 1-8.
- V.-A. Hentunen, V. Erkkilä, and S. Jenu, ''Smart system of renewable energy storage based on INtegrated EVs and bAtteries to empower mobile, Distributed and centralised Energy storage in the distribution grid (INVADE),'' Eur. Union's Horizon 2020 Res. Innov. programme, Tech. Rep. H2020, 2010, pp. 1-55.
- Y. Zheng, W. Gao, M. Ouyang, L. Lu, L. Zhou, and X. Han, ''State-of- charge inconsistency estimation of lithium-ion battery pack using mean- difference model and extended Kalman filter,'' J. Power Sources, vol. 383, pp. 50-58, Apr. 2018.
- L. Lu, X. Han, J. Li, J. Hua, and M. Ouyang, ''A review on the key issues for lithium-ion battery management in electric vehicles,'' J. Power Sources, vol. 226, pp. 272-288, Mar. 2013.
- M. Daowd, M. Antoine, N. Omar, P. Lataire, P. van den Bossche, and J. van Mierlo, ''Battery management system-Balancing modularization based on a single switched capacitor and bi-directional DC/DC converter with the auxiliary battery,'' Energies, vol. 7, no. 5, pp. 2897-2937, 2014.
- M. S. Yusof, S. F. Toha, N. A. Kamisan, N. N. W. N. Hashim, and M. A. Abdullah, ''Battery cell balancing optimisation for battery manage- ment system,'' in Proc. IOP Conf. Ser. Mater. Sci. Eng., vol. 184, 2017, Art. no. 012021.
- L. Wang, X. Zhao, L. Liu, and R. Wang, ''Battery pack topology structure on state-of-charge estimation accuracy in electric vehicles,'' Electrochim. Acta, vol. 219, pp. 711-720, Nov. 2016.
- W. Shi, X. Hu, C. Jin, J. Jiang, Y. Zhang, and T. Yip, ''Effects of imbal- anced currents on large-format LiFePO 4 /graphite batteries systems con- nected in parallel,'' J. Power Sources, vol. 313, pp. 198-204, May 2016.
- F. Zhang, M. M. Ur Rehman, R. Zane, and D. Maksimovć, ''Hybrid bal- ancing in a modular battery management system for electric-drive vehi- cles,'' in Proc. IEEE Energy Convers. Congr. Expo. (ECCE), Oct. 2017, pp. 578-583.
- J. Li, A. M. Gee, M. Zhang, and W. Yuan, ''Analysis of battery lifetime extension in a SMES-battery hybrid energy storage system using a novel battery lifetime model,'' Energy, vol. 86, pp. 175-185, Jun. 2015.
- J. Rivera-Barrera, N. Muñoz-Galeano, and H. O. Sarmiento-Maldonado, ''SoC Estimation for lithium-ion batteries: Review and future Chal- lenges,'' Electronics, vol. 6, no. 4, p. 102, 2017.
- D. D. Artakusuma, H. Afrisal, A. I. Cahyadi, and O. Wahyunggoro, ''Battery management system via bus network for multi battery electric vehicle,'' in Proc. Int. Conf. Elect. Eng. Comput. Sci. (ICEECS), 2014, pp. 179-181.
- Z. Xi and X. Zhao, ''Data driven prognostics with lack of training data sets,'' in Proc. ASME Int. Design Eng. Tech. Conf. Comput. Inf. Eng. Conf. (IDETC/CIE), 2015, pp. 1-6.
- X. Zhang, Y. Wang, C. Liu, and Z. Chen, ''A novel approach of remaining discharge energy prediction for large format lithium-ion battery pack,'' J. Power Sources, vol. 343, pp. 216-225, Mar. 2017.
- Q. Kong, M. Ruan, and Y. Zi, ''A health management system for marine cell group,'' in Proc. IOP Conf. Ser., Earth Environ. Sci., 2017, vol. 69, no. 1, pp. 1-7.
- W. D. Toh, B. Xu, J. Jia, C. S. Chin, J. Chiew, and Z. Gao, ''Lithium iron phosphate (LiFePO 4 ) battery power system for deepwater emergency operation,'' Energy Proc., vol. 143, pp. 348-353, Dec. 2017.
- S. Abada, G. Marlair, A. Lecocq, M. Petit, V. Sauvant-moynot, and F. Huet, ''Safety focused modeling of lithium-ion batteries: A review,'' J. Power Sources, vol. 306, pp. 178-192, Feb. 2016.
- T. Bruen, J. M. Hooper, J. Marco, M. Gama, and G. H. Chouchelamane, ''Analysis of a battery management system (BMS) control strategy for vibration aged nickel manganese cobalt oxide (NMC) lithium-ion 18650 battery cells,'' Energies, vol. 9, no. 4, p. 255, 2016.
- Q. Luo, X. He, S. Jiang, and X. Wang, ''Impact-based electromagnetic energy harvester with high output voltage under low-level excitations,'' Energies, vol. 10, no. 11, p. 1848, 2017.
- X. Yang, L. Chen, X. Xu, W. Wang, Q. Xu, Y. Lin, and Z. Zhou, ''Parameter identification of electrochemical model for vehicular lithium- ion battery based on particle swarm optimization,'' Energies, vol. 10, no. 11, p. 1811, 2017.
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- Authors
- Omariba, Z. B., Zhang, L., & Sun, D.
- Affiliations
- University of Science and Technology Beijing (CN)
- Sun Yat-sen University (CN)
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 129335-129352
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2972462720
- Cited by
- 333
- References
- 4
- Citations by year
- 2026: 34 · 2025: 65 · 2024: 66 · 2023: 52 · 2022: 54 · 2021: 43 · 2020: 18 · 2019: 1
- FWCI
- 13.23
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Fundamental Research Funds for Central Universities of China (FRF-BD-18-001A)
- National Natural Science Foundation of China (51775037)
- National Key Research and Development Program of China (2016YFF0203800)
- China Scholarship Council
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Keywords
- battery balancing, electric vehicles, battery pack, charge imbalance, passive balancing, active balancing, battery temperature, battery performance
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