Maneeinn, Chaitouch
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Preferred name
Maneeinn, Chaitouch
Alternative Name
Manee-Inn, Chaitouch
Main Affiliation
Email
chaitouch.ma@kmitl.ac.th
3 results
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Item type:Publication, Reactive power compensation using inverter air-condition for smart home application(2017-11-03); This proposed paper introduces the application of the inverter air conditioner by using the back to back converter to provide the reactive power during the steady state operation. This technique is used for improving the power factor of the smart home system or to provide the reactive power in the appropriate situation in both of constant reactive power supply and the maximum reactive power supply mode. A 3-phase 38,600 BTU is used for the experimental setup and supported the reactive power back to the utility grid system. The back to back converter is used to with an air conditioner. The propose back to back converter can be controlled using vector control technique for providing desired active and reactive power. The results show that remained power rating during steady state can be use to compensate the reactive power as a function of smart home which can be used to apply with home energy management system (HEMS). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, State of Health Estimation of LFP Batteries Using DC Internal Resistance and Neural Network(2022-01-01); 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, State of Health Battery Estimation by Using the OCPP of Charging Station Combined with Loss of EV Charging System(2023-01-01); ; ; Thounthong, PhatiphatThe 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.