AI-Driven Sensor Technologies for Next-Generation Electric Vehicles
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 77
Special Issue Editor
Interests: intelligent systems design of complex systems in uncertain environments (underwater/electric vehicle, battery, PV system, acoustic enclosure, and water distribution network) involving predictive analytics (data mining, predictive modeling, and machine learning)
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Special Issue Information
Dear Colleagues,
The rapid advancement of electric vehicles (EVs) is driven by innovations in sensor technologies, which are essential for enhancing performance, safety, and sustainability. This Special Issue, entitled "AI-Driven Sensor Technologies for Next-Generation Electric Vehicles", welcomes the submission of cutting-edge research and reviews focused on the development, integration, and application of sensors in EV systems. Key topics of interest include battery management sensors (e.g., state-of-charge estimation, thermal monitoring), motor control, environmental perception (LiDAR, radar, cameras), autonomous driving, and energy efficiency optimization. Contributions are also welcome to explore novel sensor materials, fault detection algorithms, vehicle-to-everything (V2X) communication, and cybersecurity solutions tailored for EV ecosystems. Additionally, we welcome studies focused on multi-sensor fusion, real-time data processing, and the role of artificial intelligence (AI) and machine learning (ML) in improving sensor accuracy, reliability, and decision-making. This Special Issue aims to bridge the gap between academia and industry, fostering innovative sensor technologies that will shape the future of EVs. Interdisciplinary research addressing scalability, cost-effectiveness, and technical challenges is particularly encouraged.
Prof. Dr. Cheng Siong Chin
Guest Editor
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Keywords
- electric vehicle sensors
- battery management systems
- autonomous driving
- multi-sensor fusion
- AI/ML in EV sensors
- cybersecurity for EVs
- V2X communication
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