Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management
Northumbria University · University of Birmingham · +1 more institution
Abstract
This review explores recent advancements in electric vehicles (EVs), focusing on the transformative role of artificial intelligence (AI) in battery management systems (BMSs) and system control technologies. While EVs are integral to sustainable transportation, challenges remain in optimising battery longevity, energy efficiency, and safety. AI-driven techniques—such as machine learning (ML), neural networks (NNs), and reinforcement learning (RL)—enhance battery state of health (SOH) and state of charge (SOC) predictions, as well as temperature regulation, offering superior accuracy over traditional methods. Additionally, AI-powered control frameworks optimise energy distribution, regenerative braking, and…
Citation impact
- FWCI
- 51.10
- Percentile
- 100%
- References
- 120
Authors
3Topics & keywords
- Predictive maintenance
- Battery (electricity)
- Engineering
- Reliability engineering
- Automotive engineering
- Computer science
- Physics