[HTML][HTML] The development of machine learning-based remaining useful life prediction for lithium-ion batteries

X Li, D Yu, VS Byg, SD Ioan - Journal of Energy Chemistry, 2023 - Elsevier
Lithium-ion batteries are the most widely used energy storage devices, for which the
accurate prediction of the remaining useful life (RUL) is crucial to their reliable operation and …

Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues …

MSH Lipu, S Ansari, MS Miah, ST Meraj, K Hasan… - Journal of Energy …, 2022 - Elsevier
State of Charge (SOC), state of health (SOH), and remaining useful life (RUL) are the crucial
indexes used in the assessment of electric vehicle (EV) battery management systems (BMS) …

Battery management, key technologies, methods, issues, and future trends of electric vehicles: A pathway toward achieving sustainable development goals

MSH Lipu, AA Mamun, S Ansari, MS Miah, K Hasan… - Batteries, 2022 - mdpi.com
Recently, electric vehicle (EV) technology has received massive attention worldwide due to
its improved performance efficiency and significant contributions to addressing carbon …

[HTML][HTML] Remaining useful life prediction for lithium-ion battery storage system: A comprehensive review of methods, key factors, issues and future outlook

S Ansari, A Ayob, MSH Lipu, A Hussain, MHM Saad - Energy Reports, 2022 - Elsevier
Develo** battery storage systems for clean energy applications is fundamental for
addressing carbon emissions problems. Consequently, battery remaining useful life …

Data driven health and life prognosis management of supercapacitor and lithium-ion battery storage systems: Developments, implementation aspects, limitations, and …

MSH Lipu, MS Abd Rahman, M Mansor… - Journal of Energy …, 2024 - Elsevier
Health and life prognosis research contributes to the development of next-generation energy
storage solutions with enhanced performance, longer lifespans, and improved sustainability …

Development and future scope of renewable energy and energy storage systems

S Sridhar, SR Salkuti - Smart Cities, 2022 - mdpi.com
This review study attempts to summarize available energy storage systems in order to
accelerate the adoption of renewable energy. Inefficient energy storage systems have been …

Artificial intelligence approaches for advanced battery management system in electric vehicle applications: A statistical analysis towards future research opportunities

MSH Lipu, MS Miah, T Jamal, T Rahman, S Ansari… - Vehicles, 2023 - mdpi.com
In order to reduce carbon emissions and address global environmental concerns, the
automobile industry has focused a great deal of attention on electric vehicles, or EVs …

SOC, SOH and RUL Estimation for Supercapacitor Management System: Methods, Implementation Factors, Limitations and Future Research Improvements

A Ayob, S Ansari, MSH Lipu, A Hussain, MHM Saad - Batteries, 2022 - mdpi.com
The development of a supercapacitor management system (SMS) for clean energy
applications is crucial to addressing carbon emissions problems. Consequently, state of …

Energy and battery management systems for electrical vehicles: a comprehensive review & recommendations

AF Challoob, NA Bin Rahmat… - Energy Exploration …, 2024 - journals.sagepub.com
Electric vehicle technology has recently drawn a lot of interest on a global scale due to
improved performance in its efficiency and the capability to solve the problems of carbon …

[HTML][HTML] Recent advancement of remaining useful life prediction of lithium-ion battery in electric vehicle applications: A review of modelling mechanisms, network …

MS Reza, M Mannan, M Mansor, PJ Ker, TMI Mahlia… - Energy Reports, 2024 - Elsevier
The remaining useful life (RUL) prediction of lithium-ion batteries (LIBs) plays a crucial role
in battery management, safety assurance, and the anticipation of maintenance needs for …