Prediction and evaluation of health state for power battery based on Ridge linear regression model.

Huang, Bixiong; Liao, Haiyu; Wang, Yiquan; Liu, Xintian; Yan, Xiao

Huang, Bixiong; Liao, Haiyu; Wang, Yiquan; Liu, Xintian; Yan, Xiao.

Afiliación

Huang B; School of Mechanical and Automotive Engineering, 66323Shanghai University of Engineering Science, Shanghai, China.
Liao H; School of Mechanical and Automotive Engineering, 66323Shanghai University of Engineering Science, Shanghai, China.
Wang Y; School of Mechanical and Automotive Engineering, 66323Shanghai University of Engineering Science, Shanghai, China.
Liu X; School of Mechanical and Automotive Engineering, 66323Shanghai University of Engineering Science, Shanghai, China.
Yan X; School of Mechanical and Automotive Engineering, 66323Shanghai University of Engineering Science, Shanghai, China.

Sci Prog ; 104(4): 368504211059047, 2021 10.

Article en En | MEDLINE | ID: mdl-34842468

Asunto(s)

Algoritmos; Suministros de Energía Eléctrica; Modelos Lineales

Palabras clave

Data-driven; feature engineering; power battery health status; regularization

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Suministros de Energía Eléctrica / Algoritmos Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Idioma: En Revista: Sci Prog Año: 2021 Tipo del documento: Article País de afiliación: China

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