Paul Takyi-Aninakwa’s academic trajectory reflects a journey marked by rigorous exploration and innovation in engineering disciplines. 📚 As a doctoral student at the New Energy Measurement and Control Laboratory within the School of Information Engineering at Southwest University of Science and Technology in China, his research is dedicated to pioneering new methods for energy measurement and control, specifically targeting the development of efficient battery management systems for lithium-ion batteries in electro-mobility. 🚗 His master’s studies delved into the realm of supersonic sliding friction, utilizing advanced numerical software to simulate and analyze friction phenomena, culminating in the proposal of novel surface texture topographies for friction reduction. 🔄 During his undergraduate tenure at Kwame Nkrumah University of Science and Technology in Ghana, he cultivated a solid foundation in mechanical engineering principles, laying the groundwork for his future innovations.
Publications Top Notes
Title: 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. Year: 2022 Link: Applied Energy 326 (2022) 120043 Authors: Paul Takyi-Aninakwa, Shunli Wang*, Hongying Zhang, Carlos Fernandez, Xiaoyong Yang
Title: An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries. Year: 2022 Link: Energy 260 (2022) 125093 Authors: Paul Takyi-Aninakwa, Shunli Wang*, Hongying Zhang, Huan Li, Wenhua Xu, Carlos Fernandez
Title: A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures. Year: 2023 Link: Energy 273 (2023) 127231 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Yang Xiao, Carlos Fernandez
Title: An enhanced lithium-ion battery state-of-charge estimation method using long short-term memory with an adaptive state update filter incorporating battery parameters. Year: 2024 Link: Engineering Applications of Artificial Intelligence 132 (2024) 107946 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Alhamdu Nuhu Bage, Faisal Masahudu, Josep M. Guerrero
Title: Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties. Year: 2023 Link: Journal of Energy Storage 66 (2023) 107495 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Yang Xiao, Carlos Fernandez
Title: A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries. Year: 2023 Link: Journal of Energy Storage 68 (2023) 107728 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Yang Xiao, Carlos Fernandez
Title: An ASTSEKF optimizer with nonlinear condition adaptability for the state of charge estimation of lithium-ion batteries. Year: 2023 Link: Journal of Energy Storage 70 (2023) 108098 Authors: Paul Takyi-Aninakwa*, Shunli Wang, Hongying Zhang, Yang Xiao, Carlos Fernandez