Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379231887> ?p ?o ?g. }
- W4379231887 endingPage "145" @default.
- W4379231887 startingPage "145" @default.
- W4379231887 abstract "Battery states are very important for the safe and reliable use of new energy vehicles. The estimation of power battery states has become a research hotspot in the development of electric buses and transportation safety management. This paper summarizes the basic workflow of battery states estimation tasks, compares, and analyzes the advantages and disadvantages of three types of data sources for battery states estimation, summarizes the characteristics and research progress of the three main models used for estimating power battery states such as machine learning models, deep learning models, and hybrid models, and prospects the development trend of estimation methods. It can be concluded that there are many data sources used for battery states estimation, and the onboard sensor data under natural driving conditions has the characteristics of objectivity and authenticity, making it the main data source for accurate power battery states estimation; Artificial neural network promotes the rapid development of deep learning methods, and deep learning models are increasingly applied in power battery states estimation, demonstrating advantages in accuracy and robustness; Hybrid models estimate the states of power batteries more accurately and reliably by comprehensively utilizing the characteristics of different types of models, which is an important development trend of battery states estimation methods. Higher accuracy, real-time performance, and robustness are the development goals of power battery states estimation methods." @default.
- W4379231887 created "2023-06-04" @default.
- W4379231887 creator A5002362140 @default.
- W4379231887 creator A5002512198 @default.
- W4379231887 creator A5016199726 @default.
- W4379231887 creator A5021531627 @default.
- W4379231887 creator A5045398176 @default.
- W4379231887 creator A5053382208 @default.
- W4379231887 creator A5063985744 @default.
- W4379231887 date "2023-06-02" @default.
- W4379231887 modified "2023-10-16" @default.
- W4379231887 title "Research Progress on Data-Driven Methods for Battery States Estimation of Electric Buses" @default.
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