Fault diagnosis for cell voltage inconsistency of a battery pack in electric vehicles based on real-world driving data
Authors:
- Weidong FangWFWeidong Fang
- Hanlin ChenHCHanlin Chen
- Fumin ZhouFZFumin Zhou
- 16 June 2022
- journal article
- research article
- Published by Elsevier in Computers and Electrical Engineering
- Vol. 102
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- Online Lithium-Ion Battery Internal Resistance Measurement Application in State-of-Charge Estimation Using the Extended Kalman FilterEnergies, 2017
- Voltage fault diagnosis and prognosis of battery systems based on entropy and Z-score for electric vehiclesApplied Energy, 2017
- Model-based fault diagnosis approach on external short circuit of lithium-ion battery used in electric vehiclesApplied Energy, 2016
- Effect of extreme temperatures on battery charging and performance of electric vehiclesJournal of Power Sources, 2016
- Cell-balancing currents in parallel strings of a battery systemJournal of Power Sources, 2016
- Online dynamic equalization adjustment of high-power lithium-ion battery packs based on the state of balance estimationApplied Energy, 2016
- Lebesgue-Sampling-Based Diagnosis and Prognosis for Lithium-Ion BatteriesIEEE Transactions on Industrial Electronics, 2015
- Performance comparison of active balancing techniques for lithium-ion batteriesJournal of Power Sources, 2014
- Adaptive Nonlinear Model-Based Fault Diagnosis of Li-Ion BatteriesIEEE Transactions on Industrial Electronics, 2014
- Algorithm AS 136: A K-Means Clustering AlgorithmJournal of the Royal Statistical Society Series C: Applied Statistics, 1979