Paul Takyi‐Aninakwa

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 · 474 citations · Full text

Electric Battery, Electrical Engineering, Engineering +12

An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation

Shunli Wang, Paul Takyi‐Aninakwa, Siyu Jin et al. · Energy · 2022 · 338 citations · Full text

Electric Battery, Electrical Engineering, Engineering +10

Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations

Shunli Wang, Fan Wu, Paul Takyi‐Aninakwa et al. · Energy · 2023 · 254 citations · Full text

Electric Battery, Electrical Engineering, Engineering +10

Improved Multiple Feature-Electrochemical Thermal Coupling Modeling of Lithium-Ion Batteries at Low-Temperature with Real-Time Coefficient Correction

Shunli Wang, Haiying Gao, Paul Takyi‐Aninakwa et al. · Protection and Control of Modern Power Systems · 2024 · 157 citations · Full text

Engineering, Power Electronics, Real-time Coefficient Correction +16

An improved parameter identification and radial basis correction-differential support vector machine strategies for state-of-charge estimation of urban-transportation-electric-vehicle lithium-ion batteries

Shunli Wang, Chao Wang, Paul Takyi‐Aninakwa et al. · Journal of Energy Storage · 2023 · 91 citations · Full text

Electric Battery, Electrical Engineering, Engineering +11