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Special Issue "Fault Diagnosis and Control Technology of Electric Vehicle"
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: 20 August 2023 | Viewed by 4183
Special Issue Editors
Interests: vehicle dynamics and control; in-wheel motor electric vehicle; automotive electronics; nonlinear system control; fault diagnosis
Interests: marine electronic equipment; nonlinear control systems and applications; power electronics technology; underwater robot technology; industrial internet technology
Interests: energy harvesting and intelligent sensing based on piezoelectric/electromagnetic/triboelectric mechanisms; self-powered system; electromechanical system design and dynamic analysis; intelligent materials and structures
Interests: nonlinear dynamics; stochastic dynamics; vibration control
Special Issue Information
We are inviting you to submit a paper to the Special Issue “Fault Diagnosis and Control Technology of Electric Vehicle” in Electronics. Recent research in automotive engineering has focused on control technology as one of the core technologies of electric vehicles (EVs), being involved in stability, lateral stability, the power system, battery management system, vehicle energy management system, braking system, energy recovery system, and ride comfort. EVs are becoming increasingly complex with the additions of high-voltage batteries, motors, electronic control systems, entertainment equipment, and other auxiliary equipment. It is thus necessary to develop fault diagnosis technology for EVs.
The proposed Special Issue will focus on fault diagnosis and control technology for electric vehicles. We are calling for authors around the world to share their innovative results with other researchers and related industries.
Topics of interest include, but are not limited to the following:
- Vehicle dynamics and control for EVs;
- Handling stability control for EVs;
- Lateral stability control for EVs;
- Power system control for EVs;
- Vehicle energy management system control for EVs;
- Battery state monitoring and control of EVs;
- Trajectory planning for automated EVs;
- Coordinate control for connected and automated EVs;
- Braking and energy recovery control of EVs;
- Fault-tolerant control for Evs;
- Fault detection and location in EVAs by means of current, flux, vibration, temperature, and other electrical, mechanical, and chemical variables;
- Tools for fault diagnosis: neural networks, fuzzy logic, artificial intelligence, genetic algorithms, expert systems, estimation/identification, observers, data analysis, and signal processing techniques.
Prof. Dr. Qinghua Meng
Dr. Longchuan Guo
Dr. Zhenlong Xu
Dr. Ying Yang
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 2000 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.
- electric vehicle
- vehicle control
- fault diagnosis
- automated vehicle
- driverless vehicle