Future Perspectives of Modelling and Testing Energy Storage Systems for Electric Vehicles
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".
Deadline for manuscript submissions: closed (15 September 2021) | Viewed by 1887
Special Issue Editor
Special Issue Information
Dear Colleagues,
The increased growth of simulation-driven development of electric vehicles, tending to aggressively conquer the automotive industry, requires continuous improvements in skills and knowledge, and the seeking of new solutions on both the theoretical and experimental sides of the analysis. Narrowing down the horizon to the interest of this Special Issue, modelling and simulation of batteries, super-capacitors or hybrid energy storage solutions are to be presented, underlining their applicability and link to experimental analysis, due to which they are proving to be lucrative industrial tools. Using, as a base line, the actual status of research, future perspectives materialized through the genuine modelling, simulation and experimental analysis-based approaches of EV energy storage units are the hot topic of the present Special Issue. Such studies are difficult to separate from power electronics and their control; hence, complete solutions are more than welcome for inclusion. In addition, advanced models, wise solutions, intelligent parameters’ identification, self-learning algorithms, cell monitoring or other genuine applications are of interest in the present issue.
The foreseen topics of this Special Issue may include, but are not limited to:
- EV battery modelling and simulation (electrical and thermal perspectives);
- Battery cell parameters’ identification solutions;
- Low loss and low cost cell voltage equalizer solutions;
- Supercapacitors’ analytical simulation algorithms and parameters’ identification;
- Battery and supercapacitor hybrid storage solutions;
- Power electronics and their control in relation to energy storage;
- Energy management system for batteries or hybrid storage systems;
- State of health estimation for energy storage systems;
- Optimal sizing of energy storage systems.
Dr. Mircea Ruba
Guest Editor
Manuscript Submission Information
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Keywords
- Batteries
- Modelling and simulation
- Electric vehicle
- Supercapacitors
- Mobile energy storage
- Parameters’ identification
- Experimental testing
- Energy management
- Hybrid energy storage
- Optimal sizing
