Towards Efficient Battery Swapping Service Operation Under Battery Heterogeneity

The proliferation of electric vehicles (EVs) has posed significant challenges to the existing power grid infrastructure. It thus becomes of vital importance to efficiently manage the Electro-Mobility for large demand from EVs. Due to limited cruising range of EVs, vehicles have to make frequent stops for recharging, while long charging period is one major concern under plug-in charging. We herein leverage battery swapping (BS) technology to provide an alternative charging service, which substantially reduces the charging duration (from hours down to minutes). Concerning in practice that various battery is generally not compatible with each other, we thus introduce battery heterogeneity into the swapping service, concerning the case that different types of EVs co-exist. A battery heterogeneity-based swapping service framework is then proposed. Further with reservations for swapping service enabled, the demand load can be anticipated at BS stations as a guidance to alleviate service congestion. Therefore, potential hotspots can be avoided. Results show the performance gains under the proposed scheme by comparing to other benchmarks, in terms of service waiting time, etc. In particular, the diversity of battery stock across the network can be effectively managed.

[1]  Zhu Han,et al.  The PHEV Charging Scheduling and Power Supply Optimization for Charging Stations , 2016, IEEE Transactions on Vehicular Technology.

[2]  Arobinda Gupta,et al.  A Review of Charge Scheduling of Electric Vehicles in Smart Grid , 2015, IEEE Systems Journal.

[3]  Hua Qin,et al.  Charging scheduling with minimal waiting in a network of electric vehicles and charging stations , 2011, VANET '11.

[4]  Jun Yang,et al.  Optimal planning of swapping/charging station network with customer satisfaction , 2017 .

[5]  Nicholas R. Jennings,et al.  Intention-aware routing to minimise delays at electric vehicle charging stations: the research related to this demonstration has been published at IJCAI 2013 [1] , 2013, AIIP '13.

[6]  Claudio Casetti,et al.  A game-theory analysis of charging stations selection by EV drivers , 2015, Perform. Evaluation.

[7]  Yue Cao,et al.  A publish/subscribe communication framework for managing electric vehicle charging , 2014, 2014 International Conference on Connected Vehicles and Expo (ICCVE).

[8]  MengChu Zhou,et al.  Centralized Charging Strategy and Scheduling Algorithm for Electric Vehicles Under a Battery Swapping Scenario , 2016, IEEE Transactions on Intelligent Transportation Systems.

[9]  Jilai Yu,et al.  Battery Swapping: An aggressive approach to transportation electrification , 2019, IEEE Electrification Magazine.

[10]  Sanjeevikumar Padmanaban,et al.  A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development , 2017 .

[11]  Peng Wang,et al.  Distributed Operation Management of Battery Swapping-Charging Systems , 2019, IEEE Transactions on Smart Grid.

[12]  Ilja Radusch,et al.  Stochastic Park-and-Charge Balancing for Fully Electric and Plug-in Hybrid Vehicles , 2014, IEEE Transactions on Intelligent Transportation Systems.

[13]  Zbigniew A. Styczynski,et al.  Electric vehicle charging stations in Magdeburg , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[14]  Michael Devetsikiotis,et al.  Unsplittable Load Balancing in a Network of Charging Stations Under QoS Guarantees , 2014, IEEE Transactions on Smart Grid.

[15]  Danny H. K. Tsang,et al.  Queueing network models for electric vehicle charging station with battery swapping , 2014, 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[16]  Sarvapali D. Ramchurn,et al.  Managing Electric Vehicles in the Smart Grid Using Artificial Intelligence: A Survey , 2015, IEEE Transactions on Intelligent Transportation Systems.

[17]  Russell Bent,et al.  Locating PHEV Exchange Stations in V2G , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[18]  Tao Jiang,et al.  Toward Efficient, Scalable, and Coordinated On-the-Move EV Charging Management , 2017, IEEE Wireless Communications.

[19]  Yue Cao,et al.  An Electric Vehicle Charging Management Scheme Based on Publish/Subscribe Communication Framework , 2016, IEEE Systems Journal.

[20]  Hao Wu,et al.  An Optimization Model for Electric Vehicle Battery Charging at a Battery Swapping Station , 2018, IEEE Transactions on Vehicular Technology.

[21]  Hrvoje Pandzic,et al.  Optimal Operation and Services Scheduling for an Electric Vehicle Battery Swapping Station , 2015, IEEE Transactions on Power Systems.

[22]  Jianping Pan,et al.  Networked Electric Vehicles for Green Intelligent Transportation , 2017, IEEE Communications Standards Magazine.

[23]  Abdul Hanan Abdullah,et al.  An EV Charging Management System Concerning Drivers’ Trip Duration and Mobility Uncertainty , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[24]  Erchin Serpedin,et al.  Spatio-Temporal Coordinated V 2 V Fast Charging Strategy for Mobile GEVs via Price Control , 2016 .

[25]  Jörg Ott,et al.  The ONE simulator for DTN protocol evaluation , 2009, SimuTools.