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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
2022 · Shunli Wang, Yongcun Fan, et al. · Reliability Engineering & System Safety · 557
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
2022 · Shunli Wang, Paul Takyi-Aninakwa, et al. · Energy · 355
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
2023 · Shunli Wang, Fan Wu, et al. · Energy · 278
Improved Multiple Feature-Electrochemical Thermal Coupling Modeling of Lithium-Ion Batteries at Low-Temperature with Real-Time Coefficient Correction
2024 · Shunli Wang, Haiying Gao, et al. · Protection and Control of Modern Power Systems · 241
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A review of data-driven whole-life state of health prediction for lithium-ion batteries: Data preprocessing, aging characteristics, algorithms, and future challenges
2024 · Yanxin Xie, Shunli Wang, et al. · Journal of Energy Chemistry · 146
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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
2023 · Shunli Wang, Chao Wang, et al. · Journal of Energy Storage · 132
A Critical Review of Improved Deep Convolutional Neural Network for Multi-Timescale State Prediction of Lithium-Ion Batteries
2022 · Shunli Wang, Pu Ren, et al. · Energies · 128
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Enhanced extended-input LSTM with an adaptive singular value decomposition UKF for LIB SOC estimation using full-cycle current rate and temperature data
2024 · Paul Takyi-Aninakwa, Shunli Wang, et al. · Applied Energy · 90
A novel fuzzy adaptive cubature Kalman filtering method for the state of charge and state of energy co-estimation of lithium-ion batteries
2022 · Xiao Yang, Shunli Wang, et al. · Electrochimica Acta · 88
An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries
2022 · Paul Takyi-Aninakwa, Shunli Wang, et al. · Energy · 84
An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries
2022 · Paul Takyi-Aninakwa, Shunli Wang, et al. · Applied Energy · 75
A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries based on the second-order electrical equivalent circuit model
2022 · Shunli Wang, Paul Takyi-Aninakwa, et al. · International Journal of Electrical Power & Energy Systems · 75
An enhanced lithium-ion battery state-of-charge estimation method using long short-term memory with an adaptive state update filter incorporating battery parameters
2024 · Paul Takyi-Aninakwa, Shunli Wang, et al. · Engineering Applications of Artificial Intelligence · 74
A strong tracking adaptive fading‐extended Kalman filter for the state of charge estimation of lithium‐ion batteries
2022 · Paul Takyi‐Aninakwa, Shunli Wang, et al. · International Journal of Energy Research · 74
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A comprehensive review of state-of-charge and state-of-health estimation for lithium-ion battery energy storage systems
2024 · Junjie Tao, Shunli Wang, et al. · Ionics · 61
A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures
2023 · Paul Takyi-Aninakwa, Shunli Wang, et al. · Energy · 46
Improved particle swarm optimization–long short-term memory model with temperature compensation ability for the accurate state of charge estimation of lithium-ion batteries
2024 · Etse Dablu Bobobee, Shunli Wang, et al. · Journal of Energy Storage · 42
A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries
2023 · Paul Takyi-Aninakwa, Shunli Wang, et al. · Journal of Energy Storage · 41
Critical Review on Improved Electrochemical Impedance Spectroscopy-Cuckoo Search-Elman Neural Network Modeling Methods for Whole-Life-Cycle Health State Estimation of Lithium-Ion Battery Energy Storage Systems
2024 · Ran Xiong, Shunli Wang, et al. · Protection and Control of Modern Power Systems · 40
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Dynamic adaptive square-root unscented Kalman filter and rectangular window recursive least square method for the accurate state of charge estimation of lithium-ion batteries
2023 · Shengyong Liu, Dan Deng, et al. · Journal of Energy Storage · 36
Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties
2023 · Paul Takyi-Aninakwa, Shunli Wang, et al. · Journal of Energy Storage · 35
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Deep learning framework designed for high-performance lithium-ion batteries state monitoring
2025 · Paul Takyi-Aninakwa, Shunli Wang, et al. · Renewable and Sustainable Energy Reviews · 34
A hybrid-aided approach with adaptive state update for estimating the state-of-charge of LiFePO4 batteries considering temperature uncertainties
2023 · Jiawei Peng, Paul Takyi-Aninakwa, et al. · Journal of Energy Storage · 34
An ASTSEKF optimizer with nonlinear condition adaptability for accurate SOC estimation of lithium-ion batteries
2023 · Paul Takyi-Aninakwa, Shunli Wang, et al. · Journal of Energy Storage · 33
Multi-time scale identification of key kinetic processes for lithium-ion batteries considering variable characteristic frequency
2023 · Haotian Shi, Shunli Wang, et al. · Journal of Energy Chemistry · 30
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Works count: 60
Citation count: 3,094
H-index: 25
I10-index: 36
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