Publication Detail

Intelligent Energy Management for Solar Powered EV Charging Stations


Research Report

Sustainable Transportation Energy Pathways (STEPS), Plug-In Hybrid & Electric Vehicle Research Center

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Suggested Citation:
Zhao, Hengbing and Andrew Burke (2014) Intelligent Energy Management for Solar Powered EV Charging Stations. Institute of Transportation Studies, University of California, Davis, Research Report UCD-ITS-RR-14-39

A solar PV powered battery buffered electric vehicle charging station with intelligent energy management was designed and demonstrated in UC Davis West Village, the largest planned zero net energy community in the United States. An on-site controller was introduced into a level 2 workplace charging system to control the power flow between the PV, grid, battery, and vehicle charger. The energy management approach introduced weather information and load demand statistics to optimize the use of solar and grid energy by the charging station. Hence, instead of immediately recharging the battery to a fixed state of charge after each EV charging, the target charge level of the buffer battery is optimized according to the estimated PV electricity generation and the projected EV charging load to maximize usage of solar energy and to minimize impacts of solar availability and electric vehicle charging on the utility grid. Weather information – cloud cover- is extracted from a weather forecast website to estimate the PV electricity. Historical EV charging data for the station are used to project the EV charging load by using the similar day of the week approach. This charging station management approach will simplify utility grid management from the load side during the initial stages of solar PV and EV introduction.