Advanced Technology of Smart Battery and Energy Management System of Transportation Electrification

Topic Information

Dear Colleagues,

Environmental pollution and the energy crisis have acted as catalysts for the energy revolution, particularly driving the rapid progression of transportation electrification. Electrochemical energy storage plays a fundamental role as a pivotal component in electric vehicles, boats, aircrafts, etc. Consequently, it is necessary to advance the technology of smart battery and energy management systems in real time to ensure their safe and efficient operation. In light of this, smart algorithms for lithium-ion battery/fuel cell/flow battery control, including battery modeling and state estimation, battery thermal management and fault diagnosis, and optimization of energy management systems, have gradually attracted more attention. This Topic intends to provide a platform to share the latest findings on this subject (either research or review articles).

Potential topics of interest include, but are not limited to, the following:

• Battery modeling and state estimation;
• Battery thermal management and fault diagnosis;
• Battery smart charging technology;
• Battery sorting, regrouping, and echelon utilization;
• Optimization of energy management systems.

Dr. Longxing Wu
Dr. Zhiqiang Lyu
Prof. Dr. Renjing Gao
Dr. Muyao Wu
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Energies energies	3.0	6.2	2008	16.8 Days	CHF 2600	Submit
Sustainability sustainability	3.3	6.8	2009	19.7 Days	CHF 2400	Submit
Electricity electricity	-	4.8	2020	27.9 Days	CHF 1000	Submit

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Published Papers (1 paper)

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All Energies Sustainability Electricity

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21 pages, 6619 KiB  

Open AccessArticle

Prediction of Short-Term Solar Irradiance Using the ProbSparse Attention Mechanism for a Sustainable Energy Development Strategy

by Zhenyuan Zhuang, Huaizhi Wang and Cilong Yu

Sustainability 2025, 17(3), 1075; https://doi.org/10.3390/su17031075 - 28 Jan 2025

Viewed by 486

Abstract

Sustainability refers to a development approach that meets the needs of the present generation without compromising the ability of future generations to meet their own needs. Solar energy is an inexhaustible and renewable resource. From the perspective of resource utilization, solar power generation [...] Read more.

Sustainability refers to a development approach that meets the needs of the present generation without compromising the ability of future generations to meet their own needs. Solar energy is an inexhaustible and renewable resource. From the perspective of resource utilization, solar power generation has a high degree of sustainability. Therefore, solar power generation is one of the most important ways to transform the energy structure and promote the sustainable development of the economy and society, and it is of great significance for promoting the construction of a resource-conserving and environmentally friendly society. However, solar energy resources also exhibit strong unpredictability; therefore, this paper proposes a novel artificial intelligence (AI) model for short-term solar irradiance prediction in photovoltaic power generation. Leveraging the ProbSparse attention mechanism within an encoder-decoder architecture, the AI model efficiently captures both short- and long-term dependencies in the input sequence. The dingo algorithm is innovatively redesigned to optimize the hyperparameters of the proposed AI model, enhancing model convergence. Data preprocessing involves feature selection based on mutual information, multiple imputations for data cleaning, and median filtering. Evaluation metrics include the mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R²). The proposed AI model demonstrates improved efficiency and robust performance in solar irradiance prediction, contributing to advancements in energy management for electrical power and energy systems. Full article

(This article belongs to the Topic Advanced Technology of Smart Battery and Energy Management System of Transportation Electrification)

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