← Back to Research Radar
Academic Publication Academic Publication

Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management

99
Citations
February 21, 2025
Published Date

Research Abstract & Technology Focus

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 power allocation under varying driving conditions. Deep RL enables adaptive, self-learning capabilities that improve energy efficiency and extend battery life, even in dynamic environments. This review also examines the integration of the Internet of Things (IoT) and big data analytics in EV systems, enabling predictive maintenance and fleet-level optimisation. By analysing these advancements, this paper highlights AI’s pivotal role in shaping next-generation, energy-efficient EVs.
generation electric vehicles ai-driven approaches predictive
Read Full Literature

AI Semantic Synergy Context

Connecting this academic literature to real-world market discussions and products.

crossref.org › academic paper
100%
🔥

Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management

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 tech...
crossref.org › academic paper
0%

Optimizing renewable energy systems through artificial intelligence: Review and future prospects

The global transition toward sustainable energy sources has prompted a surge in the integration of renewable energy systems (RES) into existing power grids. To improve the efficiency, reliability, ...
crossref.org › academic paper
0%

Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis

AbstractAccurate state-of-health (SOH) estimation is critical for reliable and safe operation of lithium-ion batteries. However, reliable and stable battery SOH estimation remains challenging due t...
crossref.org › academic paper
0%

Generative AI in AI-Based Digital Twins for Fault Diagnosis for Predictive Maintenance in Industry 4.0/5.0

Generative AI (GenAI) is revolutionizing digital twins (DTs) for fault diagnosis and predictive maintenance in Industry 4.0 and 5.0 by enabling real-time simulation, data augmentation, and improved...
crossref.org › academic paper
0%

Autonomous Vehicles: Evolution of Artificial Intelligence and the Current Industry Landscape

The advent of autonomous vehicles has heralded a transformative era in transportation, reshaping the landscape of mobility through cutting-edge technologies. Central to this evolution is the integr...

Frequently Asked Questions (FAQ)

Curated market intelligence mapped to this research.

What is the core focus of the research titled 'Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management'?

This literature focuses on: 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 tr...

Are there open-source GitHub repositories related to Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management?

Yes, open-source projects like PKU-YuanGroup/Helios (Helios: Real Real-Time Long Video Generation Model) are actively building upon these concepts.

Which startups are commercializing the technology behind Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management?

Products like Nano Banana 2 are bringing this to market. Their focus is: Google's latest AI image generation model .

What other academic literature is closely related to 'Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management'?

Yes, highly correlated activity was mapped. An entry titled 'Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management' discusses this: This review explores recent advancements in electric vehicles (EVs), focusing on the transformative role of artificial intelligence (AI) in battery...

Cite this Market Intelligence Report

Reference our AI-mapped synergy between this research and the commercial market to instantly build authority.

Commercial Realization

Startups and Open Source tools heavily associated with the concepts explored in this paper.

Associated Media Narrative