CALCE  Battery  Research  Group

CALCE faculty and research staff are dedicated to the development and expansion of a knowledge resource on the reliability of cost-effective and sustainable electronic project and systems. To access a comprehensive list of CALCE publications, click here. The sublist of these publications, related to secondary batteries, is presented below:

Journal Articles

Accelerated Degradation Model for C-rate Loading of Lithium-ion Batteries, Saurabh Saxena, Yinjiao Xing, Daeil Kwon, and Michael Pecht, International Journal of Electrical Power & Energy Systems, Vol. 107, PP. 438-445, May 2019, DOI:10.1016/J.IJEPES.2018.12.016.

Tab Design and Failures in Cylindrical Li-ion Batteries, Xing-Yan Yao, and Michael Pecht, IEEE Access,, Vol. 7, pp. 24802-24095, February 15, 2019, DOI: 10.1109/ACCESS.2019.2899793.

Lithium-ion Battery Remaining Useful Life Prediction with Box-Cox Transformation and Monte Carlo Simulation , Yongzhi Zhang , Rui Xiong, Hongwen He, and Michael G. Pecht, IEEE Transactions on Industrial Electronics, Vol. 66, Iss. 2, PP. 1585-1597, 2019, DOI: 10.1109/TIE.2018.2808918.

Validation and Verification of a Hybrid Method for Remaining Useful Life Prediction of Lithium-ion Batteries, YongZhi Zhang, Rui Xiong, HongWen He, and Michael Pecht, Journal of Cleaner Production, Vol. 212, PP. 240-249, 2019, DOI: 10.1016/j.jclepro.2018.12.041.

Reduction of Li-ion Battery Qualification Time Based on Prognostics and Health Management, Jinwoo Lee, Daeil Kwon, and Michael Pecht, IEEE Transactions on Industrial Electronics, Preprint, 15 November, 2018, DOI: 10.1109/TIE.2018.2880701.

Derating Guidelines for Lithium-Ion Batteries, Yongquan Sun, Saurabh Saxena, and Michael Pecht, Electronics, Vol. 11, No. 12, 3295, November 2018, DOI: 10.3390/en11123295.

Evaluation of Present Accelerated Temperature Testing and Modeling of Batteries, Weiping, Diao, Saurabh Saxena, Yinjiao Xing, and Michael Pecht, Applied Sciences, Vol. 8, No. 10, pp. 1786-1796, 2018, DOI: 10.3390/app8101786.

Li-Ion Battery Fire Hazards and Safety Strategies , Lingxi Kong, Chuan Li, Jiuchun Jiang, and Michael G. Pecht, Energies, Vol. 11, No. 9, PP. 2191, August 14, 2018, DOI: 10.3390/en11092191.

A Physics-Based Electrochemical Model for Lithium-Ion Battery State-of-Charge Estimation Solved by an Optimised Projection-Based Method and Moving-Window Filtering , Wei He, Michael Pecht, David Flynn, and Fateme Dinmohammadi, Energies, Vol. 11, No. 2120, pp. 1-23, 2018, DOI: 10.3390/en11082120.

An adaptive state of charge estimation approach for lithium-ion series-connected battery system, Simin Penga, Xuelai Zhu, Yinjiao Xing, Hongbing Shi, Xu Cai, Michael Pecht, Journal of Power Sources, Volume 392, June 2018, Pages 48-59, DOI: https://doi.org/10.1016/j.jpowsour.2018.04.101

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries, Yongzhi Zhang, Rui Xiong, Hongwen He, and Michael G. Pecht, IEEE Transactions on Vehicular Technology, Vol. 67, PP. 56955-5705, July 2018, DOI: 10.1109/TVT.2018.2805189.

Failure Modes, Mechanisms, Effects, and Criticality Analysis of Ceramic Anodes of Solid Oxide Fuel Cells, Nripendra K. Patel, Robert G. Utter, Diganta Das, Michael Pecht, and Sean R. Bishop, Electronics, Vol. 7, Issue 11, PP. 1-16, DOI: 10.3390/electronics7110323.

Remaining Useful Life Prediction for Lithium-ion Batteries Based on an Integrated Health Indicator , Yongquan Sun, Xueling Hao, Michael Pecht, and Yapeng Zhou, Microelectronics Reliability, Vols. 88-90, 1189-1194, September 2018, doi: 10.1016/j.microrel.2018.07.047.

Lithium-ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles , Rui Xiong, Ju Wang, Hongwen He, Yongzhi Zhang, Michael G. Pecht, and Simin Peng, IEEE Transactions on Vehicular Technology, 2018, doi: 10.1109/TVT.2018.2864688.

A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors, Changfu Zou, Lei Zhang , Xiaosong Hu , Zhenpo Wang , Torsten Wik , Michael Pecht, Journal of Power Sources, Volume 390, June 2018, Pages 286-296, DOI: https://doi.org/10.1016/j.jpowsour.2018.04.033

An Online State of Health Estimation Method for Lithium-ion Batteries Based on Integrated Voltage , Yapeng Zhou, Miaohua Huant, and Michael Pecht, 2018 IEEE International Conference on Prognostics and Health Management (ICPHM), 11-13 Jun, 2018, Seattle, WA, USA.

A parameter estimation method for a simplified electrochemical model for Li-ion batteries, Junfu Li, Lixin Wang, Chao Lyu, Enhui Liu, Yinjiao Xing, Michael Pecht, Electrochimica Acta, Volume 275,Issue: 10 June 2018, Pages 50-58, DOI: https://doi.org/10.1016/j.electacta.2018.04.098

Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography , Yi Wu, Saurabh Saxena, Yinjiao Xing, Youren Wang, Chuan Lit, Winco K.C. Yung, and Michael Pecht, Energies, Vol. 11, No. 925, pp. 1-22, 2018, DOI: 10.3390/en11040925.

A Unique Failure Mechanism in the Nexus 6P Lithium-Ion Battery, Saurabh Saxena, Yinjiao Xing, and Michael Pecht, Energies, Vol. 11, PP. 1-13, 841, DOI: 10.3390/en11040841.

A Double-Scale, Particle-Filtering, Energy State Prediction Algorithm for Lithium-Ion Batteries, Rui Xiong, Yongzhi Zhang, Hongwen He, Xuan Zhou, and Michael Pecht, IEEE Transactions on Industrial Electronics, PP 1526-1538, July 2017, DOI: 10.1109/TIE.2017.2733475.

Active battery cell equalization based on residual available energy maximization, Weiping Diao, Nan Xue, Vikram Bhattacharjee, Jiuchun Jiang, Orkun Karabasoglu, and Michael Pecht, Applied Energy, Vol. 210, PP 690-698, July 2017.

Exploding E-Cigarettes: A Battery Safety Issue, Saurabh Saxena, Lingxi Kong, and Michael Pecht, IEEE Access, Vol. PP, Issue 99, February 21, 2018, DOI: 10.1109/ACCESS.2018.2805281.

In-situ Observations of Lithium Dendrite Growth, Lingxi Kong, Yinjiao Xing, and Michael Pecht, IEEE Access, Vol. PP, Issue 99, February 21, 2018, DOI: 10.1109/ACCESS.2018.2805281.

An Online SOC and SOH Estimation Model for Lithium-Ion Batteries Shyh-Chin Huang, Kuo-Hsin Tseng, Jin-Wei Liang, Chung-Liang Chang, Michael G. Pecht, Energies, 10(4), pp.512, 2017.

Interacting multiple model particle filter for prognostics of lithium-ion batteries Xiaohong Su, Shuai Wang, Michael Pecht, Lingling Zhao, Zhe Ye, Microelectronics Reliability, Vol. 70, pp. 59-69, 2017.

A Bayesian nonlinear random effects model for identification of defective batteries from lot samples Edward Cripps and Michael Pecht, Journal of Power Sources, Vol. 342, pp. 342-350, 2017.

Particle Learning Framework for Estimating the Remaining Useful Life of Lithium-Ion Batteries Zhenbao Liu, Gaoyuan Sun, Shuhui Bu, Junwei Han, Xiaojun Tang, Michael Pecht, IEEE Transactions on Instrumentation and Measurement, 66 (2), 280-293, 2017.

Lithium-ion battery state-of-charge estimation based on deconstructed equivalent circuit at different open-circuit voltage relaxation times Xi-ming Cheng, Li-guang Yao, Michael Pecht, Journal of Zhejiang University-SCIENCE A, Vol. 18, Issue 4, pp 256-267, 2017.

Novel parametric circuit modeling for Li-ion batteries Ximing Cheng, Liguang Yao, Yinjiao Xing, and Michael Pecht, Energies, Vol. 9, Issue 7, pp. 539-554, 2016.

Evaluation of Batteries for Safe Air Transport Nicholas Williard, Christopher Hendricks, Bhanu Sood, Jae Sik Chung, and Michael Pecht, Energies, Vol. 9, Issue 5, pp. 340-353, 2016.

Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries. Fangdan Zheng, Yinjiao Xing, Jiuchun Jiang, Bingxiang Sun, Jonghoon Kim, Michael Pecht, Applied Energy, 183, pp.513-525, 2016.

Temperature dependent power capability estimation of lithium-ion batteries for hybrid electric vehicles Fangdan Zheng, Jiuchun Jiang, Bingxiang Sun, Weige Zhang, and Michael Pecht, Energy, Vol. 113, pp. 64-75, 2016.

Cycle Life Testing and Modeling of Graphite/ LiCoO2 cells under different state of charge ranges. Saurabh Saxena, Christopher Hendricks and Michael Pecht, Journal of Power Sources, 327 (2016), pp.394-400, 2016.

Prognostics of lithium-ion batteries based on different dimensional state equations in the particle filtering method Xiaohong Su, Shuai Wang, Michael Pecht, Peijun Ma, Lingling Zhao, Transactions of the Institute of Measurement and Control, pp. 1-10, DOI: 10.1177/0142331216642836.

A failure modes, mechanisms, and effects analysis (FMMEA) of lithium-ion batteries. Chris Hendricks, Nick Williard, Sony Mathew, and Michael Pecht, Journal of Power Sources, 297, pp.113-120, 2015.

Effect of Temperature on the Aging rate of Li Ion Battery Operating above Room Temperature. Feng Leng, Cher Ming Tan and Michael Pecht, Scientific Reports, 5, 2015.

A Bayesian approach for Li-Ion battery capacity fade modeling and cycles to failure prognostics. Jian Guo, Zhaojun Li, and Michael Pecht, Journal of Power Sources, 281, pp.173-184, 2015.

State of Charge Estimation of Lithium-Ion Batteries Using the Open-Circuit Voltage at Various Ambient Temperatures. Yinjiao Xing, Wei He, Michael Pecht and Kwok Leung Tsui, Applied Energy, 113, pp.106-115, 2014.

State of Charge Estimation for Li-Ion Batteries Using Neural Network Modeling and Unscented Kalman Filter-based Error Cancellation. Wei He, Nicholas Williard, Chaochao Chen, Michael Pecht , International Journal of Electrical Power & Energy Systems, 62, pp.783-791, 2014.

Lithium-Ion Battery Remaining Useful Life Estimation Based on Fusion Nonlinear Degradation AR Model and RPF Algorithm. Datong Liu, Yue Luo, Jie Liu, Yu Peng, Limeng Guo and Michael Pecht, Neural Computing and Applications, 25(3-4), pp.557-572, 2014.

A Generic Model-Free Approach For Lithium-Ion Battery Health management. Guangxing Bai, Pingfeng Wanga, Chao Hub and Michael Pecht, Applied Energy, 135, pp.247-260, 2014.

Lessons Learned From the 787 Dreamliner on Lithium-Ion Battery Reliability. Nicholas Williard, Wei He, Christopher Hendricks and Michael Pecht, Energies, 6(9), pp.4682-4695, 2013.

Quantitative Analysis of Lithium-Ion Battery Capacity Prediction via Adaptive Bathtub-Shaped Function. Yi Chen, Qiang Miao, Bin Zheng, Shaomin Wu and Michael Pecht, Energies, 6(6), pp.3082-3096, 2013.

Prognostics for State-of-Health Estimation of Lithium-ion Batteries based on Combination Gaussian Process Functional Regression. Datong Liu, Jingyue Pan, Jianbao Zhou, Yu Peng, Michael Pecht, Microelectronics Reliability, 53(6), pp.832-839, 2013.

Comparative Analysis of Features for Determining State of Health in Lithium-Ion Batteries. Nick Williard, Wei He, Michael Osterman, and Michael Pecht, International Journal of Prognostics and Health Management, 4, pp.1-7, 2013.

Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model. Dong Wang, Qiang Miao, and Michael Pecht, Journal of Power Sources, 239, pp.253-264, 2013.

Remaining useful life prediction of lithium-ion battery with unscented particle filter technique. Qiang Miao, Lei Xie, Hengjuan Cui, Wei Liang, and Michael Pecht, Microelectronics Reliability, 53(6), pp.805-810, 2013.

An Ensemble Model for Predicting the Remaining Useful Performance of Lithium-ion Batteries. Yinjiao Xing, Eden Ma, Kwok Leung Tsui, Michael Pecht, Microelectronics Reliability, 53(6), pp.811-820, 2013.

State of Charge Estimation for Electric Vehicle Batteries using Unscented Kalman Filtering. Wei He, Nicholas Williard, Chaochao Chen, Michael Pecht, Microelectronics Reliability 53(6), pp.840-847, 2013.

Prognostics of lithium-ion batteries based on Dempster-Shafer theory and the Bayesian Monte Carlo method. Wei He, Nicholas Williard, Michael Osterman, Michael Pecht, Journal of Power Sources, 196(23), pp.10314-10321, 2011.

Disassembly methodology for conducting failure analysis on lithium-ion batteries. Nick Williard, Bhanu Sood, Michael Osterman, and Michael Pecht, Journal of Material Sciences: Material Electron (2011), 22(10), pp.1616-1630, 2011.

Battery Management Systems in Electric and Hybrid Vehicles. Yinjiao Xing, Eden W. M. Ma, Kwok L. Tsui and Michael Pecht, Energies 2011, 4(11), pp.1840-1857, 2011.

Novel Parametric Circuit Modeling for Li-ion Batteries. Ximing Cheng, Liguang Yao, Yinjiao Xing and Michael Pecht, Energies, 9, Issue. 7, pp. 539-554, 2016.

Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries. Fangdan Zheng, Yinjiao Xing, Jiuchun Jiang, Bingxiang Sun, Jonghoon Kim and Michael Pecht, Applied Energy, 183, pp. 513-525, 2016.

Evaluation of Batteries for Safe Air Transport. Nicholas Williard, Christopher Hendricks, Bhanu Sood, Jae Sik Chung, and Michael Pecht, Energies , 9(5), pp. 340, 2016




Conference Articles

The Effect of Temperature on the Electrochemistry in Lithium-ion Batteries. Feng Leng, Cher Ming Tan, Michael Pecht and JiYe Zhang, International Symposium on Next-Generation Electronics (ISNE), Taoyuan, Taiwan, (pp. 1-4), 2014. IEEE.

Health Management of Batteries Based on Differential Evolution. Wei He, Nicholas Williard, Chaochao Chen, and Michael Pecht, 7th International Conference on Software, Knowledge, Information Management and Applications, Chiang Mai, Thailand, Dec 18-20. 2013.

Health Monitoring of Lithium-ion Batteries. Bhanu Sood, Michael Osterman and Michael Pecht, 46th 2013 IEEE Symposium on Product Compliance Engineering (ISPCE),(pp. 1-6). IEEE, 2013.

Battery Reliability of Electric Vehicles. Michael Pecht, Mathematical Methods in Reliability Conference (MMR 2013), Stellenbosch, South Africa, Jul 1-4, 2013.

Influence of Parameter Initialization on Battery Life Prediction for Online Applications. Yinjiao Xing, Eden Ma, Kwok Leung Tsui, Michael Pecht, 13th International Conference Guilin, China, (pp. 1042-1046), 2012. IEEE.

Reliability and Failure Analysis of Li-ion Batteries for Electronic Systems. Nicholas Williard, Wei He, Chunsheng Wang, Michael Pecht, Proceedings of the: 2012 International Conference on Electronic Packaging Technology & High Density Packaging, Guilin, China, August 13-16, 2012.

A Case Study on Battery Life Prediction Using Particle Filtering. Yinjiao Xing, Eden W. M. Ma, K.L. Tsui & Michael Pecht, IEEE Proceedings: Prognostics and System Health Management Conference, (pp. 1-6), 2012. IEEE.

State of Charge Estimation for Electric Vehicle Batteries under an Adaptive Filtering Framework. Wei He, Nicholas Williard, Chaochao Chen & Michael Pecht, IEEE Proceedings: Prognostics and System Health Management Conference, (pp. 1-5), 2012. IEEE.

Application of Unscented Particle Filter in Remaining Useful Life Prediction of Lithium-ion Batteries. Heng-Juan Cui, Qiang Miao, Wei Liang, Zhonglai Wang & Michael Pecht, IEEE Proceedings: Prognostics & system health management conference (PHM-2012 Beijing), (pp. 1-6), 2012.

Model Based Battery Management System for Condition Based Maintenance. Nicholas Williard, Wei He, Michael Pecht, Proceedings of the MFPT, 2012.

Prognostics of Lithium-Ion Batteries Using Model-Based and Data-Driven Methods. Chaochao Chen & Michael Pecht, IEEE Proceedings: Prognostics and System Health Management (PHM), 2012 IEEE Conference, (pp. 1-6), 2012.

Prognostics and health monitoring for lithium-ion battery. Yinjiao Xing, Qiang Miao, K.-L. Tsui and Michael Pecht, IEEE International Conference on Intelligence and Security Informatics (ISI), (pp. 242-247), 2011. IEEE.

Remaining Useful Performance Analysis of Batteries. Wei. He, N. Williard, M. Osterman, and M. Pecht, Prognostics and Health Management (PHM), 2011 IEEE Conference, (pp. 1-6), 2011.

Prognostics of Lithium-ion Batteries using Extended Kalman Filtering. Wei. He, N. Williard, M. Osterman, and M. Pecht, Proceedings of the IMAPS Advanced Technology Workshop on High Reliability Microelectronics for Military Applications, Linthicum Heights, MD, USA (Vol. 1719), 2011.

Predicting Remaining Capacity of Batteries for UAVs and Electric Vehicle Applications. N. Williard, W. He, M. Osterman, and M. Pecht, IMAPS Advanced Technology Workshop on High Reliability Microelectronics for Military Applications, 2011.