Application of Battery Management and Integration Technology in Renewable Energy Power Supply Systems
A special issue of Batteries (ISSN 2313-0105). This special issue belongs to the section "Battery Modelling, Simulation, Management and Application".
Deadline for manuscript submissions: 20 September 2024 | Viewed by 4971
Special Issue Editors
Interests: battery management; energy management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid development of the social economy, energy security and environmental protection have become urgent issues facing mankind. The usage of renewable energy to generate electricity can alleviate the above problems to a certain extent. In the development and application of renewable power generation systems, such as wind power generation and photovoltaic power generation, new energy storage and energy conversion technologies are vital. The application of battery energy storage can promote the continuous and stable generation of power by renewable energy sources, while reducing wind and solar abandonment rates. The rapid development of battery technology is crucial to the realization of the efficient use of renewable energy, low-carbon and low-emission operation.
The Special Issue, entitled “Application of Battery Management and Integration Technology in Renewable Energy Power Supply Systems”, is focused on the combination of battery management and system integration technologies, suitable for large-scale application and sustainable complex energy systems.
The scope of this Special Issue includes, but is not limited to, the following topics:
- Battery energy storage in renewable energy;
- Large-scale battery integration technology;
- Aging of energy storage batteries;
- Battery safety management;
- Battery thermal management.
Prof. Dr. Xiaogang Wu
Dr. Jiu-Yu Du
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. Batteries is an international peer-reviewed open access monthly 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 2700 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
- renewable energy
- battery
- battery system
- battery management system
- integration
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: State of Charge Estimation of Lithium-Ion Batteries under Ultra-High-Rate Discharge Conditiodns using an Improved Bayesian-Optimized LSTM Moel
Authors: Ran Li; Qingyuan Li; Peng Luan; Xiaoyu Zhang
Affiliation: Ministry of Education of Automotive Electronics Drive Control and System Integration, Harbin University of Science and Technology, Harbin 150080, China
Abstract: 1
Title: Optimal Design of a Centralized Air-Fed Thermal Management System for Lithium Battery Energy Storage Cabinets
Authors: Xiaogang WU; Zhixin WEI; Sigong CHEN; Shuyi GUAN; Jiuyu DU
Affiliation: Tsinghua University
Abstract: Air-cooled energy storage battery cabinets typically employ a split-type thermal management system, characterized by complex structures and redundant circuit wiring. To address these issues, a novel centralized air-cooled thermal management system was designed and optimized in this paper, along with a refinement of the air-cooling structure. The cooling performance of this air-cooled system was rigorously tested and validated using LiFePO4 batteries. Experimental data provided insights into the electrical and thermal characteristics of the batteries, facilitating the development of a thermal simulation model for a 64.5kWh LiFePO4 battery cabinet. Subsequently, a quantitative study was conducted on the impact of inlet airflow velocity and temperature on cooling performance. The optimization process began with the flow channel, employing a comparison simulation method with temperature uniformity as the optimization parameter. Results revealed that a module duct inlet featuring a rounded angle structure significantly enhanced temperature uniformity within the module. Compared to a right-angle duct, the module with the rounded-angle exhibited a reduction of 66.7% in maximum airflow velocity difference and 25.3% in maximum temperature difference. Furthermore, it was observed that for every 1℃ decrease in air temperature, the maximum temperature decreased by 0.51℃, and the temperature difference increased by approximately 0.24℃ on average. On average, for every 1m/s increase in airflow velocity, the maximum temperature of battery modules decreased by 0.61℃. However, the elevated airflow velocity also resulted in an augmented uneven distribution of the flow field, leading to increased temperature inconsistency.
Title: Estimation of SOC in Lithium-Ion Batteries using an Adaptive Sliding Mode Observer with Simplified Hysteresis Model
Authors: Yujia Chang; Ran Li; Boyuan Yang; Xiaoyu Zhang
Affiliation: Automotive Electronic Drive Control and System Integration Engineering Research Center, Ministry of Education, Harbin 150080, China, Harbin University of Science and Technology
Abstract: To address the issue of reduced model accuracy resulting from the hysteresis characteristics of lithium-ion batteries and the limited robustness of the state of charge (SOC) estimation method. This limitation leads to inadequate inhibition capabilities following changes in model parameters, thereby diminishing SOC estimation accuracy under the complex working conditions of variable temperature. This paper establishes a lithium-ion battery model that incorporates hysteresis characteristics. Additionally, it introduces the adaptive sliding mode observer algorithm (ASMO) to achieve robust and swiftly accurate estimation of the SOC of a lithium-ion battery. The established simplified hysteresis model in this paper significantly enhances the fitting accuracy during charging and discharging processes, compensating for voltage deviations induced by hysteresis characteristics. The SOC estimation, even in the face of model parameter changes under complex working conditions, maintains high robustness by capitalizing on the easy convergence and parameter insensitivity of ASMO. Lastly, experiments conducted under different temperatures and DST conditions validate that the SOC estimation of lithium-ion batteries, based on the adaptive sliding-mode observer and the simplified hysteresis model, exhibits enhanced robustness and faster convergence under complex working conditions and temperature variations.
