Analyzing Fuel Cell Vehicles Through Intelligent Battery Management Systems (BMS): AI and ML Technologies for E-Mobility

PY Reddy, BS Madan, H Anandaram… - … and Applications in …, 2024 - igi-global.com
Integrating artificial intelligence (AI), internet of things (IoT), and machine learning (ML)
technologies into fuel cell systems offers numerous benefits, applications, and opportunities …

Cloud-Powered Drives: The Convergence of AI, Machine Learning, and Electric Vehicles Battery Technology

N Stephen, K Steven - International Journal of Advanced Engineering …, 2023 - ijaeti.com
The intersection of electric vehicle (EV) battery technology with artificial intelligence (AI) and
machine learning (ML) has ushered in a new era of innovation and efficiency in the …

Cloud-based artificial intelligence framework for battery management system

D Shi, J Zhao, C Eze, Z Wang, J Wang, Y Lian… - Energies, 2023 - mdpi.com
As the popularity of electric vehicles (EVs) and smart grids continues to rise, so does the
demand for batteries. Within the landscape of battery-powered energy storage systems, the …

Leveraging IoT and TinyML for Smart Battery Management in Electric Bicycles

T Flores, M Andrade, M Medeiros… - 2023 Symposium on …, 2023 - ieeexplore.ieee.org
Ahstract-Urban mobility and environmental sustainability are critical challenges intensified
by population growth, urbanization, and increased vehicle presence, leading to issues like …

Exploring the Synergy of Artificial Intelligence in Energy Storage Systems for Electric Vehicles

SM Miraftabzadeh, M Longo, A Di Martino, A Saldarini… - Electronics, 2024 - mdpi.com
The integration of Artificial Intelligence (AI) in Energy Storage Systems (ESS) for Electric
Vehicles (EVs) has emerged as a pivotal solution to address the challenges of energy …

Fuel cell electric vehicles—A brief review of current topologies and energy management strategies

IS Sorlei, N Bizon, P Thounthong, M Varlam… - Energies, 2021 - mdpi.com
With the development of technologies in recent decades and the imposition of international
standards to reduce greenhouse gas emissions, car manufacturers have turned their …

Optimizing fuel economy and durability of hybrid fuel cell electric vehicles using deep reinforcement learning-based energy management systems

H Hu, WW Yuan, M Su, K Ou - Energy Conversion and Management, 2023 - Elsevier
An effective energy management strategy (EMS) is crucial for the reliable operation of fuel
cell hybrid electric vehicles (FCHEVs). This study proposes a power distribution optimization …

Securing energy horizons: Cloud-driven based machine learning methods for battery management systems

DMS Zekrifa, R Saravanakumar, S Nair… - Journal of Intelligent & … - content.iospress.com
The increasing need for effective energy storage solutions has led to the prominence of
lithium-ion batteries as a crucial technology across multiple industries. The proficient …

Monitoring of operational conditions of fuel cells by using machine learning

AB Shrote, KK Kumar, C Kaur… - … on Internet of Things, 2024 - publications.eai.eu
The reliability of fuel cells during testing is crucial for their development on test benches. For
the development of fuel cells on test benches, it is essential to maintain their dependability …

Review of Energy Management Methods for Fuel Cell Vehicles: From the Perspective of Driving Cycle Information

W Wang, Z Hao, F Qu, W Li, L Wu, X Li, P Wang, Y Ma - Sensors, 2023 - mdpi.com
Energy management methods (EMMs) utilizing sensing, communication, and networking
technologies appear to be one of the most promising directions for energy saving and …