State-of-the-Art in Electric Vehicle Battery State of Charge, Health and Power Estimation
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".
Deadline for manuscript submissions: closed (15 July 2023) | Viewed by 27493
The paper submitted to the Special Issue will be processed and published immediately if it's accepted after peer-review.
Please contact the guest editor or the journal editor ([email protected]) for any queries.
Special Issue Editors
Interests: energy systems; battery banagement software design; battery algorithms; electried transportation; advanced control engineering
Special Issue Information
Dear Colleagues,
The Guest Editor is inviting submissions to a Special Issue of Energies on the subject area of “State-of-the-Art in Electric Vehicle Battery State of Charge, Health and Power Estimation”.
The market growth in electrified transportation and their battery systems has driven the need for more accurate, intelligent, robust, and comprehensive battery algorithms and battery management system (BMS) software. There have been many emerging techniques over the years for battery state/parameter estimation, ranging from electrochemical model-based approaches, semi-empirical recursive nonlinear observers/Kalman filter derivatives, to data-driven machine learning approaches. This Special Issue will deal with recent electric vehicle-related advancements and approaches to reporting battery life, energy, and power capabilities. Topics of interest for publication include, but are not limited to:
- Battery Algorithms
- State-Of-Charge (SOC) Estimation
- State-Of-Health (SOH) Estimation
- State-Of-Power (SOP) Estimation
- Battery Capacity Estimation
- Battery Resistance Estimation
- Recursive Observer/Filter Algorithms
- Machine Learning and Neural Networks
- Electrochemical/Physics-based Battery Models
- Battery Data Analytics
Prof. Dr. Pawel Malysz
Prof. Dr. Saeid Habibi
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. Energies 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 2600 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
- Battery State Estimation
- Battery Parameter Estimation
- Battery Algorithms
- Battery Management Systems
- Cell Modeling
- Electrified Transportation
- Machine Learning
- Neural Networks