Battery Management Processes, Modeling, and Optimization
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: 5 August 2024 | Viewed by 326
Special Issue Editors
2. CFDWAYS LLC, 6th Floor, 53 Nguyen Xien Street, Thanh Xuan District, Hanoi, Vietnam
Interests: modeling and simulation; computational fluid dynamics (CFD); physics-informed neural network (PINN); reactor design and optimization; cleaner energy production
Special Issues, Collections and Topics in MDPI journals
Interests: porous electrode material from biomass; eco-friendly ion exchange membrane; water desalination via capacitive deionization
Special Issue Information
Dear Colleagues,
The model-based engineering solution framework for electric vehicle battery packs encompasses three crucial components: battery management, battery modeling, and battery optimization.
Battery management processes (BMPs) encompass a diverse set of techniques and procedures meticulously designed to enhance battery performance, efficiency, and overall lifespan. The key aspects of BMPs encompass the management of the battery's state of charge (SOC) and state of health (SOH), safety protocols, cell balancing techniques, and effective thermal management.
Battery modeling, a fundamental aspect of the framework, encompasses a variety of approaches such as computational fluid dynamics (CFD), electro-thermal models, circuit models, and surrogate or neural network models. These models play a pivotal role in predicting and understanding the battery behavior under various conditions, enabling more precise and efficient control strategies.
In parallel, battery optimization aims to achieve real-time adaptivity, cost analysis, model predictive control, and multi-objective optimization. This optimization process strives to strike a balance between conflicting objectives, enhancing the battery pack's performance while considering factors like cost-effectiveness and energy efficiency.
By synergizing battery management, modeling, and optimization, this comprehensive framework serves as a sophisticated foundation for advancing electric vehicle battery technology. It enables manufacturers and researchers to create cutting-edge battery solutions, ensuring electric vehicles are safer, more efficient, and more reliable, thus propelling the widespread adoption of sustainable transportation.
Dr. Son Ich Ngo
Guest Editor
Dr. Hoang Long Ngo
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- electric vehicles
- battery performance
- thermal management
- battery management
- battery modeling
