AI-Driven Energy Optimization, Diagnosis, and Control for Next-Generation Electric Vehicles
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: 15 April 2026 | Viewed by 14
Special Issue Editors
2. Department of Automotive Engineering, Clemson University, Greenville, SC 29607, USA
Interests: hybrid energy storage systems; energy management strategies; battery management systems
Interests: battery management; battery modeling; machine learning; battery degradation diagnosis and prognosis
Special Issues, Collections and Topics in MDPI journals
Interests: dynamic control and energy management of electric vehicles; autonomous vehicle control and evaluation technology; fault diagnosis and intelligent detection of electric vehicles
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid transition towards transportation electrification has positioned electric vehicles (EVs) and hybrid electric vehicles (HEVs) as cornerstones of a sustainable future. However, realizing their full potential hinges on overcoming critical challenges related to energy efficiency, battery lifespan, operational reliability, and sophisticated vehicle control. Artificial intelligence (AI) has emerged as a transformative technology capable of addressing these complexities, enabling predictive, adaptive, and highly optimized vehicle systems.
This Special Issue aims to gather the latest research and innovations in the application of AI and machine learning techniques to the core challenges in modern EVs. We invite contributions that explore novel AI-driven strategies for energy optimization, intelligent diagnosis and prognosis, and advanced vehicle control. We seek research that will define the state of the art and illuminate the path for the next generation of intelligent, efficient, and reliable electric vehicles. Original and high-quality research, reviews, and perspectives are invited for publication. Potential topics include, but are not limited to, the following:
- Machine learning and deep learning for energy management strategies in HEVs and EVs.
- Intelligent optimization and control of hybrid energy storage systems.
- Predictive and adaptive energy management based on traffic flow, route, and driving behavior.
- Reinforcement learning for real-time powertrain energy optimization.
- AI-based state of charge, state of health, and remaining useful life estimation.
- Machine learning models for battery degradation diagnosis and prognosis.
- Data-driven battery modeling and parameter identification.
- Intelligent fault diagnosis and anomaly detection in battery management systems.
- Smart control strategies for EV and HEV dynamics.
- AI applications in motion planning, stability, and trajectory control.
- Intelligent control and evaluation technologies for autonomous vehicles.
- Sensor fusion and perception algorithms for intelligent driving.
- Data-driven fault detection and resilient control for vehicle systems.
Dr. Yiming Ye
Dr. Qiao Wang
Prof. Dr. Xuan Zhao
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- electric vehicles
- energy management strategies
- battery management systems
- fault diagnosis and prognosis
- artificial intelligence
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
