swapping system
54442602
A Study for Definition of Compliance Method of Durability Test in EV Couplers for Battery Swapping System
Electric Vehicles (EV) are developed for resolving the environmental problems and out of the fossil fuels. But the charging time of EV is very long. So, EV with battery swapping system (EVBS) is developed to solve this problem. But EVBS is not used widely because it not tested and certified according to the method of durability in couplers. So, this study shows the way to test it and the real couplers were tested by the method that was defined in this study.
2018 21st International Conference on Electrical Machines and Systems (ICEMS)
Kwangmin Kim Ju Lee Sanggon Lee
67079211
Fog Computing for Next Generation Transport a Battery Swapping System Case Study
Electric vehicle (EV) is a promising technology for reducing environmental impacts of road transport. Efficient EV charging control strategies that can affect the impacts and benefits is a potential research problem. Adopting the notion of IoT, in this paper, we present a Cloud Fog based Battery Swapping Topology (BSS) A QoS ensuring timing model is proposed for defining the charging management of EV batteries across the BSS. For optimal BSS infrastructure planning, we also present a cost optimization framework, considering the timing and architectural constraints. The potential solution approaches for the given optimization formulation is also discussed.
Md Muzakkir Hussain M Saad Alam Mirza Mohd Sufyan Beg
201127550
A study of evaluating method in durability test of EV couplers for battery swapping system
Kwangmin Kim
28314070
Optimizing Spare Battery Allocation in an Electric Vehicle Battery Swapping System
Electric vehicle battery swapping stations are suggested as an alternative to vehicle owners recharging their batteries themselves. To maximize the network's performance spare batteries must be optimally allocated in these stations. In this paper, we consider the battery allocation problem where the criterion for optimality is the window fill rate, i.e. the probability that a customer that enters the swapping station will exit it within a certain time window. This time is set as the customer's tolerable wait in the swapping station. In our derivation of the window fill rate formulae, we differ from previous research in that we assume that the swapping time itself is not negligible. We numerically analyse the battery allocation problem for a hypothetical countrywide application in Israel and demonstrate the importance of estimating correctly customers' tolerable wait, the value of reducing battery swapping time and the unique features of the optimal battery allocation.
ICORES
Michael Dreyfuss Yahel Giat
58819466
A Cyber Physical Energy Management System for Optimal Sizing and Operation of Networked Nanogrids With Battery Swapping Stations
This paper considers networked nanogrids with an electric vehicle battery swapping station (BSS) as a cyber physical energy management system (CPEMS) for enhancing the energy supply reliability, resilience, and economics. This paper discusses the architecture and control framework of the proposed CPEMS. A capacity optimization problem is formulated based on the mixed integer linear programming and solved with a scenario based approach to schedule the CPEMS generation and storage. Individual nanogrids and BSS share scheduled generation and storage resources and exploit diversities in supply and demand profiles to achieve mutual economic and security benefits. The paper considers the following three issues: 1) optimal sizing and scheduling of nanogrids and BSS can supply a sufficient storage capacity for smoothing out volatile renewable energy sources (RES) 2) surplus RES generation can be aggregated and stored in the BSS for supplying electric vehicles at peak hours; and 3) a networked nanogrid structure can share BSS resources for attaining considerable savings and higher resilience, without compromising each nanogrid's cyber physical security. Numerical case studies demonstrate the applications of the proposed CPEMS to power system operation and control.
IEEE Transactions on Sustainable Energy
Mingfei Ban Mohammad Shahidehpour Jilai Yu Zhiyi Li
84187083
A Novel Image Encryption Scheme Based on 7D Hyperchaotic System and Row column Simultaneous Swapping
In this paper, a novel image encryption algorithm is proposed based on a seven dimensional (7D) hyperchaotic system and simultaneous row column swapping. First, the 7D hyperchaotic system is introduced. The SHA 512 hash function is applied in order to generate the system parameters and initial values of the 7D hyperchaotic system. Seven real numbers are transformed in order to form three new sequences. The new sequences are used for the scrambling and diffusion operations. Then, the scrambling matrix is formed, and a plain image is subjected to the permutation process. Finally, the diffusion method is performed on the scrambled image, and the cipher image is ultimately obtained. The experimental results reveal that the proposed scheme has good performance. This scheme has large secret keys and is highly sensitive to the plain images and initial keys. This method could also resist many kinds of attacks. The proposed method is superior with respect to its security and encryption performance compared with some other methods.
IEEE Access
Shuliang Sun Yongning Guo Ruikun Wu
41693890
Exploring Information Needs of Using Battery Swapping System for Riders
In order to improve penetration in Taiwan's electric two wheeler (E2W) market to decrease emissions of pollutants generated by scooters, a battery swapping model is proposed to overcome battery limitations (e.g. expensive purchase price, short lifetime, limited driving range per charge, long charging time, and inconvenient charging) This study aims to understand individuals' information needs of using battery swap station (BSS) and, furthermore, providing several suggestions to improve BSS service for enhancing their willingness to accept a battery swapping system. In this study, a sample of 2,100 riders who had experienced a battery swapping service and filled out a post experience questionnaire. The questionnaire elicited their traffic demands, the system acceptability, and purchase intention. The results showed that approximately 79.9 of riders adopted the battery swapping system, but only 3.9 were willing to purchase an e scooter. Riders identified a number of problems with the self service BSSs, including 42.8 usability, 33.1 environment, 18.7 utility, and 5.4 price. Finally, these problems were discussed, and addressed several recommend ways of resolving them.
HCI
Fei-Hui Huang
222221350
Design and Simulation of a Battery Swapping System for Electric Vehicles
Electric vehicles show a significant potential both to reduce carbon emissions due to an energy storage system which can be recharged using renewable energy sources. The long time it takes to recharge the batteries of an electric car can be a limit to its spread and reach a "massive adoption" This work aims at evaluating the feasibility of using an automated battery swapping system for vehicles in the city of Turin in Italy. The battery swapping station was designed by using real data from a leading company in warehouse handling. (GAP nu) Various configurations were proposed by varying the number of stations operating in the city, the number of cars served simultaneously in each station and the number of automatic guided vehicles that replace the battery in the stations. The analysis was conducted by using a discrete event simulation model. The customer service, the infrastructure costs and the battery life cycle preservation were considered as performance indicators. The obtained results showed that the project is feasible both from an infrastructural point of view and an energetic point of view.
2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Emiliano Traini Faveto Alberto Giulia Bruno Franco Lombardi
219590764
The Combination of Battery Swapping System and Connected Vehicles Technology in Intelligent Transportation
Battery swapping system is facing a series of problems at present, such as people can't find the most time saving power station accurately, and the difficulty for battery swapping station to make the battery reserve plan and set the location of the station and so on. In this paper, the combination of connected vehicles technology and battery swapping system is put forward. Using the connected vehicles technology to collect the information of each vehicle battery in real time and processing the information and analyzing, then give battery swapping stations and car owners more convenient service And effectively alleviate congestion in some roads and power stations and avoid situations in which electric vehicles are unable to operate because they do not have electricity. What's more, this paper also proposes the concept of "auxiliary battery self monitoring and self networking" for continued operation of the vehicle networking device in some cases. These approaches could eventually lead to a better use of Internet of connected vehicles technology, and make battery swapping system safer and easier to operate.
2020 International Conference on Intelligent Transportation, Big Data Smart City (ICITBS)
Zhengxia Chen
86433527
A Cost Efficient Energy Management System for Battery Swapping Station
Extensive penetration of electrified transportation (xEVs) would require a framework pertaining to smart grid applications for optimizing the grid to vehicle (G2V) and vehicle to grid (V2G) management. Under this framework, an xEV aggregator would be an intermediary between an independent system operator and individual xEVs, which would offer flexibilities for operating electricity markets. In this paper, we propose a mix integer linear programming based optimal energy management system for battery swapping station (BSS) by participating in the day ahead, real time and ancillary services. To incorporate the dynamicity of energy price and xEVs load in the optimization model, a suitable forecasting method is selected and suitability of the selected model has been discussed. Furthermore, we propose an incentive based vehicle to vehicle game theoretic approach to assess the expected profit of the BSS aggregator. Later, the validation of the proposed framework is discussed through a case study considering a fleet of 100 xEVs. To incorporate real time scenario, multitype electric vehicles (EVs) are considered.
IEEE Systems Journal
Furkan Ahmad Mohammad Saad Alam Samir M Shariff