Výsledky vyhledávání - "Mohd Yamani Bin Idris"

Lithium-ion Battery Model Parameter Identification Using Modified Adaptive Forgetting Factor-Based Recursive Least Square Algorithm

Autor: Prashant Shrivastava, Mohd Yamani Bin Idris, Tey Kok Soon, Saad Mekhilef

Publikováno v: 2021 IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia).

A proficient battery management system (BMS) is constantly expected to make an electric vehicle (EV) more dependable. The battery states like state of charge (SOC) and state of health (SOH) estimation are one of the significant functions of BMS. Howe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fd8711221f984ee367107be23f510d20
https://doi.org/10.1109/ecce-asia49820.2021.9479079

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Lithium-ion Battery State of Energy Estimation Using Deep Neural Network and Support Vector Regression

Autor: Saad Mekhilef, Mohd Yamani Bin Idris, Tey Kok Soon, S.B.R.S. Adnan, Prashant Shrivastava

Publikováno v: 2021 IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia).

For the advancement of an effective energy management system for an electric vehicle (EV) application, it is constantly needed to utilize a precise battery state of energy (SOE) estimation method. In this study, two different data- driven SOE estimat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1331c07bc2b9a8f59d1ee3b3a83fc4f8
https://doi.org/10.1109/ecce-asia49820.2021.9479413

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