Static Charging Scheduling of Electric Vehicles at Private Stations

In this short paper, considering the significant increase on the number of electric vehicles (EV) and the additional load they bring on the power grid, we propose a static charging scheduling algorithm in order to effectively schedule the charging of EVs during nighttime at private charging stations. Given the vehicles and the volume of their charging demands, we first determine the additional load to the grid assuming all EVs need to charge to the maximum level recommended by the manufacturers within the given time period. Then, the proposed algorithm calculates the energy and the time needed to charge the EV battery to the level requested by the owner. After finding the slack time (the latest start time for charging – the current time), it schedules the charging of EV by giving priority to the one whose slack time is minimum. If it is not possible to charge all vehicles to the requested battery level within the time constraints, the algorithm evenly distributes the available energy to EVs that need more charging.

[1]  Bao Jingchao,et al.  Research on car-carried charger of polymer lithium battery used in electric vehicle , 2012, Proceedings of The 7th International Power Electronics and Motion Control Conference.

[2]  S. Vestal.  Preemptive Scheduling of Multi-criticality Systems with Varying Degrees of Execution Time Assurance , 2007, RTSS 2007.

[3]  Dong Li,et al.  A comparative study of state-of-charge estimation algorithms for lithium-ion batteries in wireless charging electric vehicles , 2016, 2016 IEEE PELS Workshop on Emerging Technologies: Wireless Power Transfer (WoW).

[4]  Chien‐Fan Chen,et al.  Degradation predictions of lithium iron phosphate battery , 2015 .

[5]  Oyas Wahyunggoro,et al.  State of Charge (SOC) and State of Health (SOH) estimation on lithium polymer battery via Kalman filter , 2016, 2016 2nd International Conference on Science and Technology-Computer (ICST).

[6]  Mohamed Essaaidi,et al.  Smart campus microgrid: Advantages and the main architectural components , 2015, 2015 3rd International Renewable and Sustainable Energy Conference (IRSEC).

[7]  Oliver Marcincin,et al.  Active charging stations for electric cars , 2015, 2015 16th International Scientific Conference on Electric Power Engineering (EPE).

[8]  Mehmet Uzunoglu,et al.  Assessment of a car park with electric vehicles , 2013, 4th International Conference on Power Engineering, Energy and Electrical Drives.

[9]  John Chiasson,et al.  Estimating the state of charge of a battery , 2003, Proceedings of the 2003 American Control Conference, 2003..

[10]  A. Kumar,et al.  Intelligent battery management system for runtime optimization of an electric car , 2013, 2013 International Conference on Information Communication and Embedded Systems (ICICES).

[11]  R. S. Ghaman,et al.  Implementation of CLAIRE, traffic estimation and prediction system, and adaptive traffic control in the US , 2002 .

[12]  Jing Zhang,et al.  A Non-Cooperative Game Based Charging Power Dispatch in Electric Vehicle Charging Station and Charging Effect Analysis , 2018, 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2).

[13]  W. Shireen,et al.  Plug-in Hybrid Electric vehicles in the smart grid environment , 2010, IEEE PES T&D 2010.

[14]  Amela Ajanovic,et al.  An economic, ecological and energetic assessment of battery electric, hybrid and fuel cell cars , 2013, 2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).

[15]  J. Helmus,et al.  Estimating the Charging Profile of Individual Charge Sessions of Electric Vehicles in The Netherlands , 2018, World Electric Vehicle Journal.

[16]  Alejandro Carrillo,et al.  Mitigating impacts of Plug-In Electric Vehicles on local distribution feeders using a Charging Management System , 2017, 2017 IEEE Transportation Electrification Conference and Expo (ITEC).

[17]  B. H. Cho,et al.  State-of-charge and remaining charge estimation of series-connected lithium-ion batteries for cell balancing scheme , 2015, 2015 IEEE International Telecommunications Energy Conference (INTELEC).