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Author: search.filters.author.Manee-Inn, ChaitouchHas files: No

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    State of Health Battery Estimation by Using the OCPP of Charging Station Combined with Loss of EV Charging System
    (2023-01-01)
    Peanjad, Pannawat
    ;
    Khomfoi, Surin
    ;
    Phophongviwat, Teeraphon
    ;
    Manee-Inn, Chaitouch
    ;
    Thounthong, Phatiphat
    The research paper focuses on estimating the health of electric vehicle batteries using electrical variables measured by the charger during the charging process. These variables are sent to a central processing system via OCPP (Open Charge Point Protocol), as the charger itself has limitations in directly measuring battery health. To overcome this limitation, this research utilizes electrical variables measured by the DC charger during the charging process to estimate battery health. The Coulomb counting method is employed in combination with an investigation into losses within the vehicle's charging system to enhance the accuracy of State of Health (SoH) estimation. The obtained battery health values will assist electric vehicle users in better trip planning and maintenance scheduling.
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    State of Health Estimation of LFP Batteries Using DC Internal Resistance and Neural Network
    (2022-01-01)
    Peanjad, Pannawat
    ;
    Manee-Inn, Chaitouch
    ;
    Khomfoi, Surin
    Studying the state of health estimation of lithium-ion phosphate batteries (LFP) using an Artificial neural network (ANN). This research examines the relationship between DC internal resistance and the state of health (SoH) of batteries. The advantage of DC internal resistance measurement is that it does not require battery removal from the system. Analysis of degradation patterns in the application of several cycles. Then apply the previously studied relationship to train the ANN to design and test the model with other battery packs. As a result, the error value is acceptable. ( MAE = 9.06%, MSE = 1.23% and RMSE = 11.11% ). Thus, this ANN Model can assist in the early detection of a potential battery failure due to battery degradation.