articleTop 1% cited
Synchronous estimation of state of health and remaining useful lifetime for lithium-ion battery using the incremental capacity and artificial neural networks
Journal of Energy Storage · 2019 · Vol. 26 · pp. 100951–100951
Shuzhi Zhang(Xi'an Jiaotong University)Baoyu ZhaiXu Guo(Xi'an Jiaotong University)Kaike WangNian Peng(Xi'an Jiaotong University)Xiongwen Zhang✉(Xi'an Jiaotong University)
Advanced Battery Technologies ResearchAdvancements in Battery MaterialsReliability and Maintenance OptimizationState of healthArtificial neural networkBattery (electricity)Reliability (semiconductor)Constant currentEngineeringReliability engineeringComputer scienceControl theory (sociology)Artificial intelligence
Citations
320
FWCI
14.39
field-weighted impact
References
58
Percentile
99%
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Citations per year
References
A review on the key issues for lithium-ion battery management in electric vehicles
Journal of Power Sources · 2012 · 4,656 citations
A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
Renewable and Sustainable Energy Reviews · 2017 · 1,849 citations
The Co-estimation of State of Charge, State of Health, and State of Function for Lithium-Ion Batteries in Electric Vehicles
IEEE Transactions on Vehicular Technology · 2017 · 514 citations
Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks
Journal of Energy Storage · 2018 · 430 citations
Deep learning
Nature · 2015 · 79,164 citations
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