Innovative Battery Systems and Energy Storage

A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and Innovation in Energy and Thermal/Fluidic Science".

Deadline for manuscript submissions: closed (30 June 2019) | Viewed by 14497

Special Issue Editors


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Guest Editor
Research Group MOBI—Mobility, Logistics and Automotive Technology Research Centre, Vrije Universiteit Brussel, Brussel, Belgium
Interests: batteries; energy storage; physics based modelling; battery systems; thermal modeling
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Battery Innovation Centre (BIC), Vrije Universiteit Brussel (VUB), Brussel, Belgium
Interests: characterization, electrical, thermal, electrochemical and lifetime modeling of various rechargeable energy storage systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As the global economy begins to strain under the pressure of rising petroleum prices and environmental concerns, research has spurred the development of various types of clean energy transportation technologies, such as hybrid electric vehicles (HEVs), battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs). However, the establishment of the energy storage technology, for which the required output power during acceleration, achieving efficient use of the regenerative energy and considerable life cycle are the critical aspects. Moreover, no current battery technology can meet these often-concurrent objectives.

In the last decade, numerous rechargeable battery technologies have been developed, such as nickel-metal hydride and Li-ion based batteries. These technologies realised a high market penetration due to the high performances in terms of energy and power for (PH)(B)EVs. In this Special Issue, we welcome review articles and original research papers focusing on recent progress and developments in the field of batteries.

Potential topics include, but are not limited to:

  • Recent battery technologies
  • Next Generation battery technologies for automotive and state stationary applications (LiS, solid state, Li-air, etc.)
  • Aging mechanisms
  • Battery thermal management
  • Battery management systems
  • State functions (state of charge, state of power, state of health)
  • Safety investigation
  • Battery pack/system design
  • Integration into the application
  • Life cycle assessment
  • Dismantling and recycling
  • Cost assessment

Published Papers (2 papers)

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Research

21 pages, 6090 KiB  
Article
State of Charge Estimation of a Composite Lithium-Based Battery Model Based on an Improved Extended Kalman Filter Algorithm
by Ning Ding, Krishnamachar Prasad, Tek Tjing Lie and Jinhui Cui
Inventions 2019, 4(4), 66; https://doi.org/10.3390/inventions4040066 - 01 Nov 2019
Cited by 8 | Viewed by 5290
Abstract
The battery State of Charge (SoC) estimation is one of the basic and significant functions for Battery Management System (BMS) in Electric Vehicles (EVs). The SoC is the key to interoperability of various modules and cannot be measured directly. An improved Extended Kalman [...] Read more.
The battery State of Charge (SoC) estimation is one of the basic and significant functions for Battery Management System (BMS) in Electric Vehicles (EVs). The SoC is the key to interoperability of various modules and cannot be measured directly. An improved Extended Kalman Filter (iEKF) algorithm based on a composite battery model is proposed in this paper. The approach of the iEKF combines the open-circuit voltage (OCV) method, coulomb counting (Ah) method and EKF algorithm. The mathematical model of the iEKF is built and four groups of experiments are conducted based on LiFePO4 battery for offline parameter identification of the model. The iEKF is verified by real battery data. The simulation results with the proposed iEKF algorithm under both static and dynamic operation conditions show a considerable accuracy of SoC estimation. Full article
(This article belongs to the Special Issue Innovative Battery Systems and Energy Storage)
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22 pages, 7542 KiB  
Article
Comparison of Lithium-Ion Battery Models for Simulating Storage Systems in Distributed Power Generation
by Hartmut Hinz
Inventions 2019, 4(3), 41; https://doi.org/10.3390/inventions4030041 - 06 Aug 2019
Cited by 48 | Viewed by 8779
Abstract
Lithium-ion batteries are well known in numerous commercial applications. Using accurate and efficient models, system designers can predict the behavior of batteries and optimize the associated performance management. Model-based development comprises the investigation of electrical, electro-chemical, thermal, and aging characteristics. This paper focuses [...] Read more.
Lithium-ion batteries are well known in numerous commercial applications. Using accurate and efficient models, system designers can predict the behavior of batteries and optimize the associated performance management. Model-based development comprises the investigation of electrical, electro-chemical, thermal, and aging characteristics. This paper focuses on the analysis of models describing the electrical behavior. In particular, it investigates how cell voltage and state of charge can be determined with sufficient accuracy for a given load profile. For this purpose, the Thevenin-based, the Rint, and the Shepherd’s models, as well as a generic library model of an electronic circuit simulation software package, are compared. The procedure for determining model parameters is discussed in detail. All models are evaluated for the application in the analysis of distributed power generation. The validation is carried out by comparing simulation and measurement results with the help of a case study. Full article
(This article belongs to the Special Issue Innovative Battery Systems and Energy Storage)
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