Detection of Degraded/Aged Cell in a Li-ion Battery Pack using Spread Spectrum Time Domain Reflectometry (SSTDR)
暂无分享,去创建一个
[1] Michael A. Osborne,et al. Gaussian process regression for forecasting battery state of health , 2017, 1703.05687.
[2] James Marco,et al. Modelling and experimental evaluation of parallel connected lithium ion cells for an electric vehicle battery system , 2016 .
[3] Mehdi Gholizadeh,et al. Estimation of State of Charge, Unknown Nonlinearities, and State of Health of a Lithium-Ion Battery Based on a Comprehensive Unobservable Model , 2014, IEEE Transactions on Industrial Electronics.
[4] Cynthia Furse,et al. A critical comparison of reflectometry methods for location of wiring faults , 2006 .
[5] Faisal Khan,et al. Live condition monitoring of switching devices using SSTDR embedded PWM sequence: A platform for intelligent gate-driver architecture , 2017, 2017 IEEE Energy Conversion Congress and Exposition (ECCE).
[6] Faisal Khan,et al. Online Health Monitoring of Multiple MOSFETs in a Grid-Tied PV Inverter using Spread Spectrum Time Domain Reflectometry (SSTDR) , 2018, 2018 International Power Electronics Conference (IPEC-Niigata 2018 -ECCE Asia).
[7] W. D. Widanage,et al. A Study of Cell-to-Cell Interactions and Degradation in Parallel Strings: Implications for the Battery Management System , 2016 .
[8] Jay Johnson,et al. An Irradiance-Independent, Robust Ground-Fault Detection Scheme for PV Arrays Based on Spread Spectrum Time-Domain Reflectometry (SSTDR) , 2018, IEEE Transactions on Power Electronics.
[9] Zheng Chen,et al. An On-Board Remaining Useful Life Estimation Algorithm for Lithium-Ion Batteries of Electric Vehicles , 2017 .
[10] Chunting Chris Mi,et al. Study of the characteristics of battery packs in electric vehicles with parallel-connected lithium-ion battery cells , 2014, 2014 IEEE Applied Power Electronics Conference and Exposition - APEC 2014.
[11] Faisal Khan,et al. Detection of gate oxide and channel degradation in SiC power MOSFETs using reflectometry , 2017, 2017 IEEE 5th Workshop on Wide Bandgap Power Devices and Applications (WiPDA).
[12] Pan Chaofeng,et al. On-board state of health estimation of LiFePO4 battery pack through differential voltage analysis , 2016 .
[13] Qiang Ling,et al. Battery Health Prognosis Using Brownian Motion Modeling and Particle Filtering , 2018, IEEE Transactions on Industrial Electronics.
[14] Nan Li,et al. SOH Balancing Control Method for the MMC Battery Energy Storage System , 2018, IEEE Transactions on Industrial Electronics.
[15] Tsorng-Juu Liang,et al. Estimation of Battery State of Health Using Probabilistic Neural Network , 2013, IEEE Transactions on Industrial Informatics.
[16] Hongyu Li,et al. Model Parameter Identification for Lithium Batteries Using the Coevolutionary Particle Swarm Optimization Method , 2017, IEEE Transactions on Industrial Electronics.
[17] R. Kaul,et al. Microwave engineering , 1989, IEEE Potentials.
[18] A. Eddahech,et al. Determination of lithium-ion battery state-of-health based on constant-voltage charge phase , 2014 .
[19] C. Furse,et al. Analysis of spread spectrum time domain reflectometry for wire fault location , 2005, IEEE Sensors Journal.
[20] Faisal Khan,et al. State of health (SOH) estimation of multiple switching devices using a single intelligent gate driver module , 2018, 2018 IEEE Applied Power Electronics Conference and Exposition (APEC).