Advancing Battery Technology and AI for Electric Vehicles

A groundbreaking study led by teams from Jamia Millia Islamia University, CVR College of Engineering, Osmania University, and the University of Tabuk explores recent advancements in battery technologies, including Li-ion silicon, solid-state, and lithium-air batteries. The research also investigates the influence of artificial intelligence and wireless power transfer on the evolution of electric vehicles. These findings were published in Energy Storage and Saving,

The image provides an overview of key aspects related to batteries and energy management in electric vehicles (EVs). It highlights:  Battery Energy Storage System in EVs: Includes conventional batteries (lead-acid, nickel-based, Li-ion) and emerging technologies (solid-state, metal-air, sodium-ion). Auxiliary Energy Storage Systems (ESS) in EVs: Lists technologies like fuel cells, ultracapacitors, flywheels, and hybrids. IoT-Based Battery Management System (BMS) Techniques in EVs: Features technologies such as artificial intelligence, cloud computing, blockchain, big data, and digital twins. Key Barriers with Battery & BMS in EVs: Includes challenges such as price, short driving range, thermal issues, failure of anode materials, and real-time diagnosis issues. Battery Charging Infrastructure in EVs: Mentions charging methods such as AC, DC, and wireless charging. At the center, the image categorizes EV types: Battery Electric Vehicles (BEVs), Plug-in Hybrid Electric Vehicles (PHEVs), Fuel Cell Electric Vehicles (FCEVs), and Hybrid Electric Vehicles (HEVs).  This diagram organizes key technologies, challenges, and solutions in EV battery and energy systems.
Flowchart. Image Credit: Energy Storage and Saving

As global cities grapple with pollution and the growing impacts of climate change, the need to transition away from fossil fuels has become more urgent. Electric vehicles (EVs) offer a promising solution for transforming transportation. However, they face ongoing challenges, such as batteries that overheat, limited energy density, and environmental concerns that hinder progress toward greener goals. These issues highlight the critical demand for innovative energy storage and management technologies.

The review provides a detailed overview of the current battery landscape, highlighting the limitations of conventional lithium-ion models. One of the most concerning issues is thermal runaway, a dangerous chain reaction caused by overheating. In response, researchers are advancing the development of solid-state and lithium-air batteries, which offer the potential for higher energy densities and improved safety.

Integrating AI-based systems enhances real-time monitoring and predictive maintenance, significantly increasing battery life and reliability. The research also critically evaluates wireless power transfer, a promising technology that faces considerable practical challenges. By combining these innovations, the study envisions a future where electric vehicles are smarter, safer, and more efficient.

Our research emphasizes the need for a multidisciplinary approach to solve persistent challenges in electric vehicle technology. By combining artificial intelligence with advanced battery materials, we can significantly improve energy efficiency and safety, making electric mobility a more viable and sustainable option for future generations.

Dr. Mohammad Waseem, Lead Researcher, Jamia Millia Islamia University

The impact of this research extends well beyond the confines of the laboratory. If realized, these advancements have the potential to significantly increase driving ranges, reduce manufacturing costs, and address environmental challenges.

The integration of AI-driven battery management with wireless charging could revolutionize urban mobility, contributing to cleaner and more sustainable cities. With the growing demand for eco-friendly transportation, this study provides a vital roadmap toward a cleaner and smarter future.

Journal Reference:

Waseem, M., G. et al. (2024) An Electric Vehicle Battery and Management Techniques: Comprehensive Review of Important Obstacles, New Advancements, and Recommendations. Energy Storage and Saving. doi.org/10.1016/j.enss.2024.09.002.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.