{"title":"Charging Infrastructure for Employer Parking – Real Data Analysis and Charging Algorithms for Future Customer Demands","authors":"Dennis Mehlig, Matthias Krumbholz, Max Gerstadt","doi":"10.4271/2024-01-2980","DOIUrl":null,"url":null,"abstract":"The mobility industry with its entire ecosystem is currently striving towards sustainable solutions, which leads to a continuous production ramp-up of electrified vehicles. The parallel extension of the charging infrastructure is needed but faced with various challenges like high investments and power limitations of local electrical grid connection. To fulfill the user requirements of electrified vehicle owners, large-scaled but cost-efficient charging systems for different parking scenarios in residential buildings, at work or at the destination are essential. MAHLE chargeBIG offers large-scaled and centralized charging infrastructure with more than 2,000 already installed charging points since 2019. This paper is a first scientific publication with an in-dept evaluation of the large-scaled charging infrastructure usage. Based on backend data of multiple MAHLE chargeBIG charging infrastructure installations with more than 600 charging points, more than 70,000 recorded charging events are analyzed. It proves that a single-phase charging concept offers sufficient charging power and is able to master multiple charging events by fulfilling customer requirements despite an unexpanded electrical grid infrastructure. As simulated in already published studies [1,2], 3-5 kW per vehicle are a sufficient charging power to recharge the daily electricity demand in employer parking areas with less than 15 kWh in average. In combination with smart charging algorithms, the system can avoid charging power limitations caused by the grid connection and allows the integration in smart grid company environments.","PeriodicalId":510086,"journal":{"name":"SAE Technical Paper Series","volume":"46 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SAE Technical Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4271/2024-01-2980","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The mobility industry with its entire ecosystem is currently striving towards sustainable solutions, which leads to a continuous production ramp-up of electrified vehicles. The parallel extension of the charging infrastructure is needed but faced with various challenges like high investments and power limitations of local electrical grid connection. To fulfill the user requirements of electrified vehicle owners, large-scaled but cost-efficient charging systems for different parking scenarios in residential buildings, at work or at the destination are essential. MAHLE chargeBIG offers large-scaled and centralized charging infrastructure with more than 2,000 already installed charging points since 2019. This paper is a first scientific publication with an in-dept evaluation of the large-scaled charging infrastructure usage. Based on backend data of multiple MAHLE chargeBIG charging infrastructure installations with more than 600 charging points, more than 70,000 recorded charging events are analyzed. It proves that a single-phase charging concept offers sufficient charging power and is able to master multiple charging events by fulfilling customer requirements despite an unexpanded electrical grid infrastructure. As simulated in already published studies [1,2], 3-5 kW per vehicle are a sufficient charging power to recharge the daily electricity demand in employer parking areas with less than 15 kWh in average. In combination with smart charging algorithms, the system can avoid charging power limitations caused by the grid connection and allows the integration in smart grid company environments.