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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. In this page, you will find links to standards related to lithium-ion batteries, as well as, a list of CALCE publications, related to secondary batteries.

Journal Articles

Lithium‑iron-phosphate Battery Electrochemical Modelling Under a Wide Range of Ambient Temperatures, Y. Wang, J. Li, J. Zhang and M. G. Pecht, Journal of Electroanalytical Chemistry, vol. 882, p. 115041, February 2021, DOI: 10.1016/j.jelechem.2021.115041

Effects of External Pressure on Phase Stability and Diffusion Rate in Lithium-Ion Cells, N. Williard, C. Hendricks, J. Chung and M. Pecht, Journal of Electroanalytical Chemistry, p. 115400, 2021, DOI: 10.1016/j.jelechem.2021.115400

Decoupling the Thermal and Non-thermal Effects of Discharge C-rate on the Capacity Fade of Lithium-ion Batteries, B. Xu, W. Diao, G. Wen, S. Choe, J. Kim & M. Pecht,  Journal Of Power Sources, 510, 230390. DOI: 10.1016/j.jpowsour.2021.230390

Development of an Informative Lithium-ion Battery Datasheet, W. Diao,  C. Kulkarni & M. Pecht, Energies, 14(17), 5434. DOI: 10.3390/en14175434

Understanding the Non-Collision Related Battery Safety Risks in Electric Vehicles a Case Study in Electric Vehicle Recalls and the LG Chem Battery, R. Aalund, W. Diao, L. Kong, and M. Pecht, IEEE Access, vol. 9, pp. 89527-89532, 2021, DOI: 10.1109/ACCESS.2021.3090304

Protection Devices in Commercial 18650 Lithium-Ion Batteries, B. Xu, L. Kong, G. Wen and M. G. Pecht, IEEE Access, vol. 9, pp. 66687-66695, April 2021, DOI: 10.1109/ACCESS.2021.3075972

Joint Estimation of Inconsistency and State of Health for Series Battery Packs, Y. Che, A. Foley, M. El-Gindy, X. Lin, X. Hu and M. G. Pecht, Automotive Innovation, January 2021, DOI: 10.1007/s42154-020-00128-8

Charging Induced Electrode Layer Fracturing of 18650 Lithium-ion Batteries, W. Diao, B. Xu and M. G. Pecht, Journal of Power Sources, vol. 484, p. 229260, February 2021, DOI: 10.1016/j.jpowsour.2020.229260

Role of the Rest Period in Capacity Fade of Graphite/LiCoO2 Batteries, S. Saxena, Y. Ning, R. Thompson and M. G. Pecht, Journal of Power Sources, vol. 484, p. 229246, February 2021, DOI: 10.1016/j.jpowsour.2020.229246

Battery Stress Factor Ranking for Accelerated Degradation Test Planning Using Machine Learning, S. Saxena, D. Roman, V. Robu, D. Flynn and M. G. Pecht, Energies, vol. 14, no. 3, p. 723, January 2021, DOI: 10.3390/en14030723

Experimental Verification of Lithium-ion Battery Prognostics Based on an Interacting Multiple Model Particle Filter, S. Wang, W. Han, L. Chen, X. Zhang & M. Pecht, Transactions Of The Institute Of Measurement And Control, 014233122096157. DOI: 10.1177/0142331220961576.

Mitigation Strategies for Li-Ion Battery Thermal Runaway: A Review, B. Xu, J. Lee, D. Kwon, L. Kong, and M. Pecht, Renewable and Sustainable Energy Reviews, vol. 150, p. 111437, 2021, DOI: 10.1016/j.rser.2021.111437

Machine Learning Pipeline for Battery State-of-Health Estimation, D. Roman, S. Saxena, V. Robu, M. G. Pecht and D. Flynn, Nature Machine Intelligence, vol. 3, no. 5, pp. 447-456, 2021. Available: 10.1038/s42256-021-00312-3.

The Significance of Aqueous Binders in Lithium-Ion Batteries, N. Lingappan, L. Kong and M. G. Pecht,  Renewable and Sustainable Energy Reviews, vol. 147, p. 111227, 2021, DOI: 10.1016/j.rser.2021.111227.

Circular Economy of Li Batteries: Technologies and Trends, H. Ali, H. A. Khan and M. G. Pecht,  Journal of Energy Storage, vol. 40, p. 102690, 2021, DOI: 10.1016/j.est.2021.102690.

Early detection of anomalous degradation behavior in lithium-ion batteries, Weiping Diao, Ijaz Haider Naqvi and Michael G. Pecht, Journal of Energy Storage, vol. 32, p. 101710, December 2020, DOI: 10.1016/j.est.2020.101710.

Computed Tomography Analysis of Li-Ion Battery Case Ruptures, Lingxi Kong, Xiaosong Hu, Guan Gui, Yan Su, and Michael G. Pecht; Fire Technology, vol. 56, no. 6, pp. 2565–2578, November 2020, DOI: 10.1007/s10694-020-00996-w

Advanced Battery Management Strategies for a Sustainable Energy Future: Multilayer Design Concepts and Research Trends, Haifeng Dai, Bo Jiang, Xiaosong Hu, Xianke Lin, Xuezhe Wei and Michael Pecht; Renewable and Sustainable Energy Reviews, p. 110480, October 2020, DOI: 10.1016/j.rser.2020.110480

Aging Modes Analysis and Physical Parameter Identification Based on a Simplified Electrochemical Model for Lithium-ion Batteries, Junfu Li, Dafang Wang, Lei Deng, Zhiquan Cui, Chao Lyu, Lixin Wang and Michael G. Pecht, Journal of Energy Storage, vol. 31, p. 101538, October 2020, DOI: 10.1016/j.est.2020.101538.

X-ray Based Non-destructive Method for Alkaline Coin Cell Quality Assurance, Saurabh Saxena and Michael Pecht, Journal of Energy Storage, Vol. 30, August 2020, DOI: 10.1016/j.est.2020.101476.

An Analytical Model for the CC-CV Charge of Li-ion Batteries with Application to Degradation Analysis, Haining Liu, Ijaz Haider Naqvi, Fajia Li, Chengliang Liu, Neda Shafiei, Yulong Li, and Michael Pecht; Journal of Energy Storage, Vol. 29, June 2020, DOI:10.1016/j.est.2020.101342.

Reliability of Cylindrical Li-ion Battery Safety Vents, Xing-Yan Yao, Lingxi Kong, and Michael Pecht, IEEE Access, May 2020, DOI: 10.1007/s10694-020-00996-w.

Evaluation of Li-based Battery Current, Voltage, and Temperature Profiles for In-service Mobile Phones, Hayder Ali, Hassan Khan, and Michael Pecht; IEEE Access, April 2020, DOI: 10.1109/ACCESS.2020.2988728.

Battery warm-up methodologies at subzero temperatures for automotive applications: Recent advances and perspectives, Xiaosong Hu, Yusheng Zheng, David A. Howey, Hector Perez, Aoife Foley and Michael Pecht,  Progress in Energy and Combustion Science, Vol. 77, PP 1-24, March 2020, DOI: 10.1016/j.pecs.2019.100806.

Remaining Useful Life Estimation of Lithium-ion Cells Based on k-nearest Neighbor Regression with Differential Evolution Optimization, Yapeng Zhou, Miaohua Huang, & Michael Pecht; Journal of Cleaner Production, PP 1-12, March 2020, DOI:10.1016/j.jclepro.2019.119409.

Battery Lifetime Prognostics, Xiaosong Hu, Le Xu, Xianke Lin, and Michael Pecht; Joule, Vol. 4, February 2020, DOI:10.1109/TIE.2020.2972458.

Capacity-fading Behavior Analysis for Early Detection of Unhealthy Li-ion Batteries, Changyong Lee, Sugyeong Jo, Daeil Kwon, and Michael Pecht; IEEE Transactions on Industrial Electronics, February 2020, DOI:10.1109/TIE.2020.2972468.

Copper Dissolution in Overdischarged Lithium-ion Cells: X-ray Photoelectron Spectroscopy and X-ray Absorption Fine Structure Analysis, Christopher Hendricks, Azzam Mansour, Daphne Fuentevilla, Gordon Waller, Jonathan Ko, and Michael Pecht; Journal of The Electrochemical Society, Vol. 167, February 2020, DOI:10.1149/1945-7111/ab697a.

Analysis of Specified Capacity in Power Banks, Diao, W., Saxena, S., & Pecht, M.; IEEE Access, January 2020, DOI: 10.1109/ACCESS.2020.2969410.

The Use of UL 1642 Impact Testing for Li-ion Pouch Cells, R. Aalund and M. Pecht,  IEEE Access, vol. 7, pp. 176706–176711, December 2019, DOI: 10.1016/j.pecs.2019.100806.

State of charge-dependent aging mechanisms in graphite/Li (NiCoAl) O2 cells: Capacity loss modeling and remaining useful life prediction, Zhang, Y., Xiong, R., He, H., Qu, X., & Pecht, M.; Applied Energy, December 2019, DOI:10.1016/j.apenergy.2019.113818. 

Parameter updating method of a simplified first principles-thermal coupling model for lithium-ion batteries, Junfu Lixin Wang, Chao Lyu, Dafang Wang, Michael Pecht, Applied Energy, Vol. 256, PP 1-15, December 2019, DOI: 10.1016/j.apenergy.2019.113924.

Online Capacity Estimation for Lithium-ion Batteries through Joint Estimation Method, Quanqing Yu, Rui Xiong, Ruixin Yang, & Michael Pecht; Applied Energy, Vol. 255, PP 1-8, December 2019, DOI:10.1016/j.apenergy.2019.113817.

State of Charge Estimation Based on a Thermal Coupling Simplified First-principles Model for Lithium-ion Batteries, Chao Lyu, Junfu Li, Lulu Zhang, Lixin Wang, Dafang Wang, and Michael Pecht, Journal of Energy Storage, Vol. 25, October, 2019, 100838, DOI:10.1016/j.est.2019.100838.

An Electrochemical Model for High C-rate Conditions in Lithium-ion Batteries, Junfu Li, Dafang Wang, and Michael Pecht, Journal of Power Sources, Vol. 436, October 2019, 226885, DOI: 10.1016/j.jpowsour.2019.226885.

Accelerated Cycle Life Testing and Capacity Degradation Modeling of LiCoO2-graphite Cells , Weiping Diao, Saurabh Saxena, and Michael Pecht, Journal of Power Sources, Vol. 435, September 2019, DOI: 10.1016/j.jpowsour.2019.226830.

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, September 2019, DOI: 10.1109/TIE.2018.2880701.

Management of Imbalances in Parallel-connected Lithium-ion Battery Packs, Weiping Diao, Michael Pecht, and Tao Liu, Journal of Power Sources, Vol. 24, August 2019, 100781, DOI: 10.1016/j.est.2019.100781.

Aging characteristics-based health diagnosis and remaining useful life prognostics for lithium-ion batteries, YongZhi Zhang, Rui Xiong, HongWen He, Xiaobo Qu, and Michael G. Pecht, eTransportation, vol. 1, p. 100004, August 2019, DOI: 10.1016/j.etran.2019.100004.

Algorithm to Determine the Knee Point on Capacity Fade Curves of Lithium-Ion Cells, Weiping Diao, Saurabh Saxena, Bongtae Han, and Michael Pecht, Energies, Vol. 12, No. 15, 2910, July 2019, DOI: 10.3390/en12152910.

Ultrasonic Health Monitoring of Lithium-Ion Batteries , Yi Wu, Youren Wang, Winco K.C. Yung, and Michael Pecht, Electronics, Vol. 8, No. 751, July 2019, DOI: 10.3390/electronics8070751.

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.

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, May 2019, doi: 10.1109/TVT.2018.2864688.

Li-ion Battery Reliability - A Case Study of the Apple iPhone, Yongquan Sun, Lingxi Kong, Hassan Abbas Khan, and Michael Pecht, IEEE Access, Vol. 7, pp. 71131-71141, May 2019 DOI:10.1109/ACCESS.2019.2918401.

The Explosive Nature of Tab Burrs in Li-Ion Batteries, Xing-Yan Yao, Saurabh Saxena, Lei Su, and Michael Pecht, IEEE Access, Vol. 7, pp. 45978-45982, April 2019, DOI:10.1109/ACCESS.2019.2909018.

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, March 2019, DOI: 10.1016/j.jclepro.2018.12.041.

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, No. 2, pp. 1585-1597, February 2019, DOI: 10.1109/TIE.2018.2808918.

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

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.

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, November 2018, DOI: 10.3390/electronics7110323.

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, September 2018, DOI: 10.3390/app8101786.

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.

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 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, August 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, pp. 48-59, July 2018, DOI: 10.1016/j.jpowsour.2018.04.101.

When e-cigarettes go boom, Michael G. Pecht, IEEE Spectrum, vol. 55, no. 7, pp. 43–45, July 2018, DOI: 10.1109/MSPEC.2018.8389187.

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.

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: 10.1016/j.jpowsour.2018.04.033.

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, Vol. 275, No. 10, PP. 50-58, June 2018, DOI:10.1016/j.electacta.2018.04.098.

Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography , Yi Wu1, Saurabh Saxena, Yinjiao Xing, Youren Wang, Chuan Lit, Winco K.C. Yung, and Michael Pecht,  Energies, Vol. 11, No. 925, pp. 1-22, April 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, April 2018, 841, DOI: 10.3390/en11040841.

Exploding E-Cigarettes: A Battery Safety Issue, Saurabh Saxena, Lingxi Kong, and Michael Pecht, EEE Access, Vol. 6, pp. 21442 - 21466, March 2018, DOI: 10.1109/ACCESS.2018.2821142. 

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

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, January 2018, DOI: 10.1016/j.apenergy.2017.07.137.

A Prognostic Model for Stochastic Degrading Systems With State Recovery: Application to Li-Ion Batteries, Zheng-Xin Zhang, Xiao-Sheng Si, Chang-Hua Hu and Michael Pecht, IEEE Transactions on Reliability, Vol. PP, No. 99, December 2017, DOI: 10.1109/TR.2017.2742298.

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, October 2017, DOI: 10.1177/0142331216642836.

State of charge estimation based on a simplified electrochemical model for a single LiCo02 battery and battery pack, Junfu Li, Lixin Wang, Chao Lyu, and Michael Pecht, Energies, Vol. 133, pp. 572-583, August 2017, DOI:10.1016/j.energy.2017.05.158.

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.

Preliminary Study on Integration of Fiber Optic Bragg Grating Sensors in Li-Ion Batteries and In Situ Strain and Temperature Monitoring of Battery Cells, Aleksandra Fortier, Max Tsao, Nick D. Williard, Yinjiao Xing, and Michael Pecht,Energies, Vol. 10, Issue 7, pp. 1-11, June 2017.

Safety Requirements for Transportation of Lithium Batteries, Haibo Huo, Yinjiao Xing, Michael Pecht, Benno J. Zuger, Neeta Khare, and Andrea Vezzini, Energies, Vol. 10, pp. 793-833, June 2017.

Batteries in Portable Electronic Devices: A User's Perspective, Saurabh Saxena, Gustavo Sanchez and Michael G. Pecht,IEEE Industrial Electronics Magazine, Volume: 11, Issue: 2, Pg: 35-44. June 2017.

In Situ Stress Measurement Techniques on Li-ion Battery Electrodes: A Review, Ximing Cheng and Michael Pecht,Energies, Vol. 10, pp. 591-610, April 2017.

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, April 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, April 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, March 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, February 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, February 2017.

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, December 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, October 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, September 2016.

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, July 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, May 2016.

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, November 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, August 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, May 2015.

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, December 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, December 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, November 2014.

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, January 2014.

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, October 2013.

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, September 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, June 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, June 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, June 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, June 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,  June 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, June 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, December 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, October 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, October 2011.

Conference Articles

Understanding and Predicting the Risks in Li-ion Batteries, L. Kong and M. G. Pecht, Proceedings IRF2020: 7th International Conference Integrity-Reliability-Failure, pp. 587–588., September 2020.

Battery Health Estimation for IoT Devices using V-Edge Dynamics, Kumar, A., Hoque, M. A., Nurmi, P., Pecht, M. G., Tarkoma, S., Song, J.; HotMobile '20: Proceedings of the 21st International Workshop on Mobile Computing Systems and Applications, March 2020, DOI:10.1145/3376897.3377858.

Anomaly Detection During Lithium-ion Battery Qualification Testing, Saurabh Saxena, Myeongsu Kang, Yinjiao Xing, and Michael Pecht, 2018 IEEE International Conference on Prognostics and Health Management (ICPHM), 11-13 June 2018, Seattle, WA, USA.

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 June 2018, Seattle, WA, USA.

Energy State of Health Estimation for Battery Packs Based on the Degradation and Inconsistency, Weiping Diao, Jiuchun Jiang, Caiping Zhang, Hui Liang and Michael G. Pecht, Energy Procedia, vol. 142, pp. 3578–3583, August 2020, DOI: 10.1016/j.egypro.2017.12.248

Prognostics of Lithium-ion Batteries Using a Deterministic Bayesian Approach, Fangdan Zheng, Jiuchun Jiang, Martha A. Zaidan, Wei He and Michael G. Pecht, 2015 IEEE Conference on Prognostics and Health Management (PHM), June 2015, DOI: 10.1109/ICPHM.2015.7245037

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.

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.

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.

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.

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.

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 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.

Magazine Articles

W. Diao, L. Kong, and M. G. Pecht, “Why the LG Chem Advertisement about Lithium-ion Batteries is Irresponsible,” Battery Power Online, 2020. Available online: https://www.batterypoweronline.com/news/why-the-lg-chem-advertisement-about-lithium-ion-batteries-is-irresponsible/.

Kong, Lingxi, and Michael G. Pecht. 2020. “A Look Inside Your Battery: Watching the Dendrites Grow.” Battery Power Online. 2020. Available online: https://www.batterypoweronline.com/news/a-look-inside-your-battery-watching-the-dendrites-grow/.

M. G. Pecht, “Exploding E-Cigarettes Are a Growing Danger to Public Health - IEEE Spectrum.” [Online]. Available: https://spectrum.ieee.org/consumer-electronics/portable-devices/exploding-ecigarettes-are-a-growing-danger-to-public-health.