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Special Issue "Battery Management System for Future Electric Vehicles"
Deadline for manuscript submissions: closed (31 August 2019).
Prof. Dirk Söffker Website E-Mail
Chair of Dynamics and Control, University of Duisburg-Essen, Forsthausweg 2, 47057 Duisburg, Germany
Interests: Control of energy flows – hybrid powertrains and wind turbine control; Diagnostics and prognostics of technical systems; Modeling, diagnosis, and control of elastic mechanical structures; Control theory: robust observers and nonlinear control; Cognitive technical systems: automata and assistance.
Assist. Prof. Bedatri Moulik Website E-Mail
Amity School of Engineering and Technology, Amity University, Noida, Sector 125, Noida, Uttar Pradesh 201313, India
Interests: power management, control, and optimization of electric and hybrid vehicles; battery management; advanced driver assistance systems
Considering the threat of polluting emissions and energy dependence, the electrification of road transport has become a global focus. The main performance parameters of electric vehicles (EVs) include size, cost, charging time, energy consumption, and efficiency. Batteries being a crucial component in EVs, evaluating the influence of the charging–discharging pattern on battery usage, performance, safety, and life is vital. The primary tasks of battery management systems (BMS) include ensuring safety and reliability by accurate state estimation and monitoring, extending end of life (EoL) by minimizing aging, fault detection and alarm, thermal management, information storage and networking between the modules.
For future EV-generations, additional control features are required to optimize charging–discharging patterns to extend battery life, decrease battery cost, while also providing maximum usability. It can be assumed that detailed real and virtual cell level monitoring and control will be relevant.
Current BMS are based on standard cycle tests. From the results it is difficult to predict the remaining useful life when subjected to unknown drive patterns and cycles; thermal management is another issue particularly during fast charging.
This Special Issue aims to address the recent developments in battery modeling, parameter estimation, prediction of remaining useful life, and related control algorithms for power, lifetime, and thermal management. Contributions related to charging approaches and their effects on battery performance are also welcome. Innovative hybridization concepts to assist, protect, and/or extend the battery life and/or performance will also be encouraged.
To perfect the Special Issue “Battery Management System for Future Electric Vehicles”, contributions should be clearly focused on the addressed research areas. Contributions should not be focused on technological state-of-the-art systems, pure numerical simulations studies using know formulas, application reports, known battery charging/discharging strategies, and should not only repeat known results (from previous works or the work of others). Prospective authors should provide original work with significant and novel contributions, providing new facts, ideas, insights, and results.
Prof. Dirk Söffker
Assist. Prof. Bedatri Moulik
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 papers will be 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. Applied Sciences 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 1500 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.
- Battery management
- Battery modeling
- Battery state estimation
- Battery monitoring
- Thermal management
- Hybrid electric vehicles, hybrid electric powertrains
- Complete battery system modeling
- Generic battery models
- Cycle and calendar life, modeling and control
- Lifetime modeling, remaining useful lifetime models and evaluations
- Charging approaches: models, experiments
- Filters-based prognosis of battery health
- Observer-based state estimation for complex nonlinear battery models
- Optimal charging-discharging cycles related to battery type
- Optimal component sizing for battery management
- Optimal hybridization schemes (in light of increasing capacities of SuperCaps and FCs) for better battery management.