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1. Scalable GaN-Based EV Charging Station with Energy Storage

   https://doi.org/10.1109/APEC43580.2023.10131300  

   Elrais, Mohamed Tamasas; Rezaii, Reza; Batarseh, Issa (March 2023, Conference proceedings)
2. PV-EV Integrated Home Energy Management Considering Residential Occupant Behaviors

   https://doi.org/10.3390/su132413826  

   Liu, Xuebo; Wu, Yingying; Wu, Hongyu (December 2021, Sustainability)

   Rooftop photovoltaics (PV) and electrical vehicles (EV) have become more economically viable to residential customers. Most existing home energy management systems (HEMS) only focus on the residential occupants’ thermal comfort in terms of indoor temperature and humidity while neglecting their other behaviors or concerns. This paper aims to integrate residential PV and EVs into the HEMS in an occupant-centric manner while taking into account the occupants’ thermal comfort, clothing behaviors, and concerns on the state-of-charge (SOC) of EVs. A stochastic adaptive dynamic programming (ADP) model was proposed to optimally determine the setpoints of heating, ventilation, air conditioning (HVAC), occupant’s clothing decisions, and the EV’s charge/discharge schedule while considering uncertainties in the outside temperature, PV generation, and EV’s arrival SOC. The nonlinear and nonconvex thermal comfort model, EV SOC concern model, and clothing behavior model were holistically embedded in the ADP-HEMS model. A model predictive control framework was further proposed to simulate a residential house under the time of use tariff, such that it continually updates with optimal appliance schedules decisions passed to the house model. Cosimulations were carried out to compare the proposed HEMS with a baseline model that represents the current operational practice. The result shows that the proposed HEMS can reduce the energy cost by 68.5% while retaining the most comfortable thermal level and negligible EV SOC concerns considering the occupant’s behaviors. 

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3. Home Energy Management with Clothing Integrated Thermal Comfort and EV SOC Concern

   https://doi.org/10.1109/PESGM48719.2022.9917003  

   Liu, Xuebo; Wu, Yingying; Zhang, Hang; Liu, Bo; Edmonds, Lawryn; Wu, Hongyu (July 2022, 2022 IEEE Power & Energy Society General Meeting (PESGM))

   This paper proposes a home energy management system (HEMS) while considering the residential occupant’s clothing integrated thermal comfort and electrical vehicles (EV) state-of-charge (SOC) concern. An adaptive dynamic program- ming (ADP) based HEMS model is proposed to optimally determine the setpoints of heating, ventilation, air conditioning (HVAC), the donning/doffing decisions for the clothing conditions and charging/discharging of EV while taking into account the uncertainties in outside temperature and EV arrival SOC. We use model predictive control (MPC) to simulate a multi-day energy management of a residential house equipped with the proposed HEMS. The proposed HEMS is compared with a baseline case without the HEMS. The simulation results show that a 47.5% of energy cost saving can be achieved by the proposed HEMS while maintaining satisfactory occupant thermal comfort and negligible EV SOC concerns. 

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4. On the Optimality of Procrastination Policy for EV Charging Under Net Energy Metering

   https://doi.org/10.1109/CDC49753.2023.10383822  

   Jeon, Minjae; Tong, Lang; Zhao, Qing (December 2023, IEEE)
5. Enhancing equitable resilience of urban energy systems via strategic planning of EV charging infrastructure

   https://doi.org/10.1016/j.tej.2023.107275  

   Ebbrecht, Gabrielle; Chen, Juntao (June 2023, The Electricity Journal)