Battery state of health (SOH) estimation is a prerequisite for battery health management and is vital for second-life utilization. Existing techniques implemented in well-controlled experimental conditions fail to reflect complex working conditions during actual vehicular operation. In this article, a novel SOH estimation method for battery systems in real-world electric vehicles (EVs) is presented by combing results of regional capacity calculation and a light gradient boosting machine (LGBM) model. The LGBM model is used to capture the relationship between battery degeneration and influential factors based on datasets from real-world EVs. The regional capacity, which is calculated through incremental capacity analysis with a Gaussian smoothing filter, is utilized to reflect the battery degradation level while ensuring high flexibility and applicability. Accumulated mileage, average charging current, average charging temperature, and start and end of SOC values are chosen as influential factors for model establishment. The effectiveness, complexity, superiority, and robustness of the proposed method are verified using data from real-world EVs. Results indicate accurate SOH estimation can be achieved with an average absolute error of only 0.89 Ah, where the MAPE and RMSE of the test vehicles are 2.049% and 1.153%, respectively.

This review paper facilitates the examination of the comprehensive thought patterns within electric vehicles (EVs) technologies and elucidates the primary significance derived from re-cent research. Furthermore, it systematically identifies and explores key themes related to EVs through the incorporation of the keyword "electric vehicle" in the bibliometric analysis. The selection of the Scopus database for this research is grounded in its superior importance com-pared to other databases, emphasizing its utilization in the bibliometric analysis. The VOSviewer software served as the analytical tool employed to visually represent crucial data, including information about countries, authors, journals, and keywords. The analysis, conduct-ed on November 19, 2022, encompassed a thorough examination of 1074 documents spanning from 1985 to 2023. While the analysis of the number of publications over the years revealed in 2020 were 190 publications, marking the highest point for research and work on electric vehi-cle studies. The most of the articles were Conference paper among all 1074 documents with 61.7 % while review papers were identified as lowest document type with only 1.3 % of all of selected documents. Bagheri, M is the top writer with 25 documents on the Scopus database re-garding to the key words, while others have publications around 11 and 16 number of papers. Russian Federation is the top contributor to the research of EVs with 61 % of all documents while Egypt is contributed with 1 % among all selected areas on the Scopus database. Notably, the IOP Conference Series Materials Science and Engineering was hold as one of the primary sources, accounting 76 documents to the electric vehicle studies. The outcomes of this investi-gation reveal noteworthy advancements in the volume of publications and the growing interest in electric vehicles, particularly within the academic and manufacturing sectors.