Robust state of charge estimation for lithium-ion batteries using a fully entangled temporal convolutional network with particle swarm optimization

State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures

Yinjiao Xing, Wei He, Michael Pecht et al. · Applied Energy · 2013 · 943 citations

Engineering, Chemical Engineering, Electrical Engineering +17

A Comprehensive Survey of Loss Functions in Machine Learning

Qi Wang, Yue Ma, Kun Zhao et al. · Annals of Data Science · 2020 · 693 citations

Computing, Computer Science, Machine Learning +15

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries

Shunli Wang, Yongcun Fan, Siyu Jin et al. · Reliability Engineering & System Safety · 2022 · 537 citations · Full text

Engineering, Chemical Engineering, Materials Science +14

Investigating the error sources of the online state of charge estimation methods for lithium-ion batteries in electric vehicles

Yuejiu Zheng, Minggao Ouyang, Xuebing Han et al. · Journal of Power Sources · 2017 · 484 citations

Engineering, Automotive Engineering, Electrical Engineering +17

A method for state-of-charge estimation of lithium-ion batteries based on PSO-LSTM

Xiaoqing Ren, Shulin Liu, Xiaodong Yu et al. · Energy · 2021 · 366 citations

Engineering, Chemical Engineering, Electrical Engineering +14