[1] Lu L, Han X, Li J, et al. A review on the key issues for lithium-ion battery management in electric vehicles[J]. Journal of Power Sources, 2013, 226:272-288.
[2] Brandl M, Gall H, Wenger M, et al. Batteries and battery management systems for electric vehicles[C]//Proceedings of the Conference on Design, Automation and Test in Europe. San Jose, CA, USA:EDA Consortium, 2012:971-976.
[3] 李孟良, 张富兴, 李宏光, 等. 不同采样间隔对车辆行驶工况测定影响的研究[J]. 汽车工程, 2005, 27(3):316-318.
[4] Sato N. Thermal behavior analysis of lithium-ion batteries for electric and hybrid vehicles[J]. Journal of Power Sources, 2001, 99(1):70-77.
[5] Forgez C, Do D V, Friedrich G, et al. Thermal modeling of a cylindrical LiFePO4/graphite lithium-ion battery[J]. Journal of Power Sources, 2010, 195(9):2961-2968.
[6] Fleckenstein M, Bohlen O, Roscher M A, et al. Current density and state of charge inhomogeneities in Li-ion battery cells with LiFePO4 as cathode material due to temperature gradients[J]. Journal of Power Sources, 2010, 196(12):4769-4778.
[7] Kwon K H, Shin C B, Kang T H, et al. A two-dimensional modeling of a lithium-polymer battery[J]. Journal of Power Sources, 2006, 163(1):151-157.
[8] Kim U S, Shin C B, Kim C S. Modeling for the scale-up of a lithiumion polymer battery[J]. Journal of Power Sources, 2009, 189(1):841-846.
[9] Sun H, Wang X, Tossan B, et al. Three-dimensional thermal modeling of a lithium-ion battery pack[J]. Journal of Power Sources, 2012, 206(1):349-356.
[10] Chacko S, Chung Y M. Thermal modelling of Li-ion polymer battery for electric vehicle drive cycles[J]. Journal of Power Sources, 2012, 213(5):296-303.
[11] Mayyas A R, Omar M, Pisu P, et al. Comprehensive thermal modeling of a power-split hybrid powertrain using battery cell model[J]. Journal of Power Sources, 2011, 196(15):6588-6594.
[12] 刘光明, 欧阳明高, 卢兰光, 等. 锂离子电池内部温度场的传递函数在线估计[J]. 汽车安全与节能学报,2013, 4(1):61-66.
[13] 张剑波, 卢兰光, 李哲. 车用动力电池系统的关键技术与学科前沿[J]. 汽车安全与节能学报, 2012, 3(2):87-104.
[14] Buford K, Williams J, Simonini M. Determining most energy efficient cooling control strategy of a rechargeable energy storage system[R]. 2011 SAE International, 2011-01-0893.
[15] Kong S N, Moo C S, Chen Y P, et al. Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithiumion batteries[J]. Applied Energy, 2009, 86:1506-1511.
[16] 李哲, 卢兰光, 欧阳明高. 提高安时积分法估算电池SOC精度的方法比较[J]. 清华大学学报:自然科学版, 2010, 50(8):1293-1296.
[17] Dubarry M, Svoboda V, Hwu R, et al. Capacity loss in rechargeable lithium cells during cycle life testing:The importance of determining state-of-charge[J]. Journal of Power Sources, 2007, 174(2):1121-1125.
[18] Pop V, Bergveld H J, het Veld J H G O, et al. Modeling battery behavior for accurate state-of-charge indication[J]. Journal of the Electrochemical Society, 2006, 153(11):A2013-A2022.
[19] Pop V, Bergveld H J, Notten P H L, et al. State-of-the-art of battery state-of-charge determination[J]. Measurement Science and Technology, 2005, 16(12):R93-R110.
[20] Snihir I, Rey W, Verbitskiy E, et al. Battery open-circuit voltage estimation by a method of statistical analysis[J]. Journal of Power Sources, 2006, 159(2):1484-1487.
[21] Roscher M A, Sauer D U. Dynamic electric behavior and open-circuitvoltage modeling of LiFePO4-based lithium ion secondary batteries[J]. Journal of Power Sources, 2011, 196(1):331-336.
[22] Dreyer W, Guhlke C, Huth R. The behavior of a many-particle electrode in a lithium-ion battery[J]. Physica D:Nonlinear Phenomena, 2011, 240(12):1008-1019.
[23] Thele M, Bohlen O, Sauer D U, et al. Development of a voltagebehavior model for NiMH batteries using an impedance-based modeling concept[J]. Journal of Power Sources, 2008, 175(1):635-643.
[24] Meethong N, Huang H Y S, Carter W C, et al. Size-dependent lithium miscibility gap in nanoscale Li1-x FePO4[J]. Electrochemical and Solid-State Letters, 2007, 10(5):A134-A138.
[25] 李哲. 纯电动汽车磷酸铁锂电池性能研究[D]. 北京:清华大学汽车系, 2011.
[26] Hu X, Li S, Peng H. A comparative study of equivalent circuit models for Li-ion batteries[J]. Journal of Power Sources, 2012, 198:359-367.
[27] 廖恩华. 基于神经网络的电动汽车磷酸铁锂电池SOC估算方法研究[D]. 成都:电子科技大学, 2011.
[28] 王佳. 汽车动力电池SOC模糊估计及其在DSP上的实现[D]. 长春:吉林大学, 2007.
[29] Cuadras A, Kanoun O. SOC Li-ion battery monitoring with impedance spectroscopy[C]. Systems, Signals and Devices, 20096th International Multi-Conference on, Jerboa, 23-26 March, 2009.
[30] Huet F. A review of impedance measurements for determination of the state-of-charge or state-of-health of secondary batteries[J]. Journal of Power Sources, 1998, 70(1):59-69.
[31] Rodrigues S, Munichandraiah N, Shukla A K. A review of state-ofcharge indication of batteries by means of ac impedance measurements[J]. Journal of Power Sources, 2000, 87(1):12-20.
[32] Piller S, Perrin M, Jossen A. Methods for state-of-charge determination and their applications[J]. Journal of Power Sources, 2001, 96(1):113-120.
[33] Plett G L. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs:Part 2. Modeling and identification[J]. Journal of Power Sources, 2004, 134(2):262-276.
[34] Verbrugge M, Tate E. Adaptive state of charge algorithm for nickel metal hydride batteries including hysteresis phenomena[J]. Journal of Power Sources, 2004, 126(1):236-249.
[35] Wang L, Wang L, Liao C. Research on improved EKF algorithm applied on estimate EV battery SOC[C]. Power and Energy Engineering Conference, 2010 Asia-Pacific, Chengdu, 28-31 March, 2010.
[36] 夏超英, 张术, 孙宏涛. 基于推广卡尔曼滤波算法的SOC估算策略[J]. 电源技术, 2007, 31(5):414-417.
[37] 石璞, 董再励. 基于EKF的AMR锂电池SOC动态估计研究[J]. 仪器仪表学报, 2006, 27(6):1-3.
[38] 范波, 田晓辉, 马建伟. 基于EKF的动力锂电池SOC状态预测[J]. 电源技术, 2010, 34(8):797-799.
[39] 毛群辉, 滕召胜, 方亮, 等. 基于UKF的电动汽车锂电池SOC估计方法[J]. 测控技术, 2010, 29(3):89-91.
[40] Charkhgard M, Farrokhi M. State-of-charge estimation for lithium-ion batteries using neural networks and EKF[J]. Industrial Electronics, IEEE Transactions on, 2010, 57(12):4178-4187.
[41] Ouyang M, Liu G, Lu L, et al. Enhancing the estimation accuracy in low state-of-charge area:A novel onboard battery model through surface state of charge determination[J]. Journal of Power Sources, 2014, 270:221-237.
[42] Kim I S. The novel state of charge estimation method for lithium battery using sliding mode observer[J]. Journal of Power Sources, 2006, 163(1):584-590.
[43] Roscher M A, Bohlen O S, Sauer D U. Reliable state estimation of multicell lithium-ion battery systems[J]. IEEE Transactions on Energy Conversion, 2011, 26(3):737-743.
[44] Dai H, Wei X, Sun Z, et al. Online cell SOC estimation of Li-ion battery packs using a dual time-scale Kalman filtering for EV applications[J]. Applied Energy, 2012, 95:227-237.
[45] Zheng Y, Ouyang M, Lu L, et al. Cell state-of-charge inconsistency estimation for LiFePO4 battery pack in hybrid electric vehicles using mean-difference model[J]. Applied Energy, 2013, 111:571-580.
[46] Han X, Ouyang M, Lu L, et al. A comparative study of commercial lithium ion battery cycle life in electric vehicle:Capacity loss estimation[J]. Journal of Power Sources, 2014, 268:658-669.
[47] Wenzl H, Baring-Gould I, Kaiser R, et al. Life prediction of batteries for selecting the technically most suitable and cost effective battery[J].Journal of Power Sources, 2005, 144(2):373-384.
[48] Sauer D U, Wenzl H. Comparison of different approaches for lifetime prediction of electrochemical systems-Using lead-acid batteries as example[J]. Journal of Power Sources, 2008, 176(2):534-546.
[49] Safari M, Morcrette M, Teyssot A, et al. Life-prediction methods for lithium-ion batteries derived from a fatigue approach I. Introduction:Capacity-loss prediction based on damage accumulation[J]. Journal of The Electrochemical Society, 2010, 157(6):A713-A720.
[50] Safari M, Morcrette M, Teyssot A, et al. Multimodal physics-based aging model for life prediction of Li-ion batteries[J]. Journal of The Electrochemical Society, 2009, 156(3):A145-A153.
[51] Christensen J, Newman J. A mathematical model for the lithium-ion negative electrode solid electrolyte interphase[J]. Journal of The Electrochemical Society, 2004, 151(11):A1977-A1988.
[52] Ramadass P, Haran B, Gomadam P M, et al. Development of first principles capacity fade model for Li-ion cells[J]. Journal of the Electrochemical Society, 2004, 151(2):A196-A203.
[53] Spotnitz R. Simulation of capacity fade in lithium-ion batteries[J]. Journal of Power Sources, 2003, 113(1):72-80.
[54] Bloom I, Cole B W, Sohn J J, et al. An accelerated calendar and cycle life study of Li-ion cells[J]. Journal of Power Sources, 2001, 101(2):238-247.
[55] Wang J, Liu P, Garner J H, et al. Cycle-life model for graphite-LiFePO4 cells. Journal of Power Sources, 2011, 196(8):3942-3948.
[56] Matsushima T. Deterioration estimation of lithium-ion cells in direct current power supply systems and characteristics of 400-Ah lithiumion cells[J]. Journal of Power Sources, 2009, 189:847-854.
[57] 黎火林, 苏金然. 锂离子电池循环寿命预计模型的研究[J]. 电源技术, 2008, 32(4):242-246.
[58] Li Z, Lu L, Ouyang M, et al. Modeling the capacity degradation of LiFePO4/graphite batteries based on stress coupling analysis[J]. Journal of Power Sources, 2011, 196(22):9757-9766.
[59] Jungst R G, Nagasubramanian G, Case H L, et al. Accelerated calendar and pulse life analysis of lithium-ion cells[J]. Journal of Power Sources, 2003, 119:870-873.
[60] Safari M, Morcrette M, Teyssot A, et al. Life prediction methods for lithium-ion batteries derived from a fatigue approach II. capacity-loss prediction of batteries subjected to complex current profiles[J]. Journal of The Electrochemical Society, 2010, 157(7):A892-A898.
[61] Plett G L. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs:Part 3. State and parameter estimation[J]. Journal of Power Sources, 2004, 134(2):277-292.
[62] Gould C R, Bingham C M, Stone D A, et al. New battery model and state-of-health determination through subspace parameter estimation and state-observer techniques[J]. Vehicular Technology, IEEE Transactions on, 2009, 58(8):3905-3916.
[63] Gould C R, Bingham C M, Stone D A, et al. Battery health determination by subspace parameter estimation and sliding mode control for an all-electric Personal Rapid Transit vehicle-the ULTra[C]//Power Electronics Specialists Conference, 2008. Rhodes, Greece:IEEE, 2008:4381-4385.
[64] Remmlinger J, Buchholz M, Meiler M, et al. State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation[J]. Journal of Power Sources, 2011, 196(12):5357-5363.
[65] Verbrugge M, Koch B. Generalized recursive algorithm for adaptive multiparameter regression application to lead acid, nickel metal hydride, and lithium-ion batteries[J]. Journal of The Electrochemical Society, 2006, 153(1):A187-A201.
[66] Verbrugge M. Adaptive, multi-parameter battery state estimator with optimized time-weighting factors[J]. Journal of applied electrochemistry, 2007, 37(5):605-616.
[67] Wang S, Verbrugge M, Wang J S, et al. Multi-parameter battery state estimator based on the adaptive and direct solution of the governing differential equations[J]. Journal of Power Sources, 2011, 196(20):8735-8741.
[68] Chiang Y H, Sean W Y, Ke J C. Online estimation of internal resistance and open-circuit voltage of lithium-ion batteries in electric vehicles[J]. Journal of Power Sources, 2011, 196(8):3921-3932.
[69] Chiang Y H, Sean W Y. Dynamical estimation of state-of-health of batteries by using adaptive observer[C]//Power Electronics and Intelligent Transportation System, 20092nd International Conference on. Shenzhen:IEEE, 2009, 1:110-115.
[70] Einhorn M, Conte F V, Kral C, et al. A Method for Online Capacity Estimation of Lithium Ion Battery Cells Using the State of Charge and the Transferred Charge[J]. IEEE Transactions onIndustry Applications, 2012, 48(2):736-741.
[71] Zheng Y, Ouyang M, Lu L, et al. Understanding aging mechanisms in lithium-ion battery packs:From cell capacity loss to pack capacity evolution[J]. Journal of Power Sources, 2015, 278:287-295.
[72] 郑岳久. 车用锂离子动力电池组的一致性研究[D]. 北京:清华大学汽车工程系, 2014.
[73] Zheng Y, Lu L, Han X, et al. LiFePO4 battery pack capacity estimation for electric vehicles based on charging cell voltage curve transformation[J]. Journal of Power Sources, 2013, 226:33-41.
[74] Do Yang J. Method of estimating maximum output of battery for hybrid electric vehicle:US, Patent 7518375[P]. 2009-04-14.
[75] 韩雪冰. 车用锂离子电池机理模型与状态估计研究[D]. 北京:清华大学, 2015.
[76] Sun F, Xiong R, He H, et al. Model-based dynamic multi-parameter method for peak power estimation of lithium-ion batteries[J]. Applied Energy, 2012, 96:378-386.
[77] Waag W, Fleischer C, Sauer D U. Adaptive on-line prediction of the available power of lithium-ion batteries[J]. Journal of Power Sources, 2013, 242:548-559.
[78] Xiong R, He H, Sun F, et al. Online estimation of peak power capability of Li-ion Batteries in Electric Vehicles by a Hardware-in-Loop Approach[J]. Energies, 2012, 5(12):1455-1469.
[79] Xiong R, He H, Sun F, et al. Model-based state of charge and peak power capability joint estimation of lithium-ion battery in plug-in hybrid electric vehicles[J]. Journal of Power Sources, 2013, 229:159-169.
[80] 刘光明, 欧阳明高, 卢兰光, 等. 基于电池能量状态估计和车辆能耗预测的电动汽车续驶里程估计方法研究[J]. 汽车工程, 2014, 36(11):1302-1309.
[81] Liu G, Ouyang M, Lu L, et al. Online estimation of lithium-ion battery remaining discharge capacity through differential voltage analysis[J]. Journal of Power Sources, 2015, 274:971-989.
[82] 刘光明. 面向电动汽车续驶里程估计的电池剩余放电能量预测研究[D]. 北京:清华大学, 2015.
[83] Feng X, Fang M, He X, et al. Thermal runaway features of large format prismatic lithium ion battery using extended volume accelerating rate calorimetry[J]. Journal of Power Sources, 2014, 255:294-301.
[84] Ouyang M, Ren D, Lu L, et al. Overcharge-induced capacity fading analysis for large format lithium-ion batteries with LiyNi1/3Co1/3Mn1/3O2+ LiyMn2O4 composite cathode, Journal of Power Sources, 2015, 279:626-635.
[85] Bohlen O, Buller S, De Doncker R W, et al. Impedance based battery diagnosis for automotive applications[C]//Power Electronics Specialists Conference, 2004 IEEE 35th Annual. Aachen, Germany:IEEE, 2004, 4:2792-2797.
[86] Sun Y H, Jou H L, Wu J C. Novel auxiliary diagnosis method for state-of-health of lead-acid battery[C]//Power Electronics and Drive Systems, 7th International Conference on. Bangkok, Thailand:IEEE, 2007:262-266.
[87] Sun Y H, Jou H L, Wu J C. Diagnosis method for the degradation of lead-acid battery[C]//Industrial Electronics, 2009 IEEE International Symposium on. Seoul, Korea:IEEE, 2009:1397-1402.
[88] Sun Y H, Jou H L, Wu J C, et al. Auxiliary health diagnosis method for lead-acid battery[J]. Applied Energy, 2010, 87(12):3691-3698.
[89] Zheng Y, Han X, Lu L, et al. Lithium ion battery pack power fade fault identification based on Shannon entropy in electric vehicles[J]. Journal of Power Sources, 2013, 223:136-146.
[90] Ouyang M, Zhang M, Feng X, et al. Internal short circuit detection for battery pack using equivalent parameter and consistency method[J]. Journal of Power Sources, 2015, 294:272-283.
[91] Notten P H L, Het Veld J H G O, Van Beek J R G. Boostcharging Liion batteries:A challenging new charging concept[J]. Journal of Power Sources, 2005, 145(1):89-94.
[92] Li J, Murphy E, Winnick J, et al. The effects of pulse charging on cycling characteristics of commercial lithium-ion batteries[J]. Journal of Power Sources, 2001, 102(1):302-309.
[93] Chen L R. A design of an optimal battery pulse charge system by frequency-varied technique[J]. Industrial Electronics, IEEE Transactions on, 2007, 54(1):398-405.
[94] Chen T R, Wu S L, Chen T R. Improving battery charging performance by using sinusoidal current charging with the minimum AC impedance frequency[C]. Sustainable Energy Technologies, 2010 IEEE International Conference on, Kandy, Sri Lanka, 11-15 April, 2010.
[95] Ouyang M, Chu Z, Lu L, et al. Low temperature aging mechanism identification and lithium deposition in a large format lithium ion iron phosphate battery for different charge profiles[J]. Journal of Power Sources, 2015, 286:309-320.
[96] 李相哲, 苏芳, 林道勇. 电动汽车动力电源系统[M]. 北京:化学工业出版社, 2011.
[97] 麻友良, 陈全世. 铅酸电池的不一致性与均衡充电的研究[J]. 武汉科技大学学报:自然科学版, 2001, 24(1):48-51.
[98] Stuart T, Zhu W. A targeted equalizer for lithium ion battery packs[C]//Vehicle Power and Propulsion Conference, 2009 IEEE. Dearborn, USA:IEEE, 2009:175-180.
[99] Zheng Y, Ouyang M, Lu L, et al. On-line equalization for lithium-ion battery packs based on charging cell voltages:Part 1. Equalization based on remaining charging capacity estimation[J]. Journal of Power Sources, 2014, 247:676-686.
[100] Zheng Y, Ouyang M, Lu L, et al. On-line equalization for lithiumion battery packs based on charging cell voltages:Part 2. Fuzzy logic equalization[J]. Journal of Power Sources, 2014, 247:460-466.