Next-Generation AI-Driven Transportation Electrification: Methods, Systems, and Applications
A special issue of World Electric Vehicle Journal (ISSN 2032-6653). This special issue belongs to the section "Automated and Connected Vehicles".
Deadline for manuscript submissions: 20 June 2027 | Viewed by 276
Editors
Interests: intelligent transportation systems; transportation electrification; transportation modeling; traffic data analysis
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent transport system; traffic flow theory; autonomous vehicle; transport electrification
Interests: traffic flow theory; microscopic simulation for inhomogeneous traffic flow; microscopic modeling of pedestrian flow; intelligent transportation system; data-driven traffic system modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Transportation electrification is central to the global transition toward low-carbon, efficient and sustainable mobility. However, its large-scale deployment faces complex challenges across multiple stages and system layers, including charging infrastructure planning, grid integration, fleet operation, energy management, user behavior uncertainty, system resilience, battery degradation and battery life-cycle management. Recent advances in next-generation artificial intelligence (AI), such as foundation models, large language models, multimodal AI, deep reinforcement learning, federated learning, graph learning, physics-informed AI and edge intelligence, offer powerful new tools to address these challenges across vehicles, infrastructure, grids, batteries and mobility systems.
This Special Issue serves as a timely platform for academia and industry to share cutting-edge research on next-generation AI-enabled methods, systems and applications in transportation electrification. It welcomes interdisciplinary contributions that integrate transportation engineering, electrical engineering, computer science, energy systems, operations research, industrial engineering, supply chain management and urban planning. By emphasizing AI as an enabling force for intelligent planning, operation, control, life-cycle management and decision-making, this issue particularly encourages studies that demonstrate methodological innovation, system-level integration, real-world deployment or policy relevance. Topics of interest include, but are not limited to, the following:
- Next-generation AI foundations for transportation electrification
- AI-enabled transportation–energy network planning and operation
- Smart charging, vehicle-grid integration and intelligent energy management
- AI-driven intelligent EV fleet, vehicle and infrastructure management
- AI-enabled EV battery health, degradation and life-cycle management
- AI for EV battery circular economy, secondary use, recycling and disassembly
- Distributed, federated, edge and privacy-preserving AI for electric mobility
- Trustworthy, explainable, secure and resilient AI for transportation electrification
- Human-centered, equitable and policy-relevant AI for sustainable electrification
Collectively, these topics highlight the methodological, system-level and application-oriented advances enabled by next-generation AI across transportation electrification. This Special Issue particularly welcomes innovative, practical and interdisciplinary studies that address critical bottlenecks in electrified mobility systems. Contributions may include original research articles, systematic reviews, short communications and industrial case studies covering algorithmic innovation, system framework design, simulation-based evaluation, field deployment validation and decision-support applications. In this Special Issue, next-generation AI refers to emerging AI paradigms that go beyond conventional task-specific data-driven models by learning from large-scale heterogeneous and multimodal data, integrating physical mechanisms and domain knowledge, supporting adaptive and autonomous decision-making and enabling trustworthy, explainable, secure and deployable intelligence in complex transportation–energy systems.
Dr. Yongxing Wang
Dr. Chaoru Lu
Dr. Dongfan Xie
Dr. Senlei Wang
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. World Electric Vehicle Journal is an international peer-reviewed open access monthly 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 1400 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
- transportation electrification
- next-generation AI
- foundation models
- multimodal AI
- smart charging
- grid-interactive mobility
- battery life-cycle management
- battery recycling and secondary use
- fleet and energy management
- sustainable mobility
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