Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Markus Eider"'
Publikováno v:
Renewable and Sustainable Energy Reviews. 182:113347
Publikováno v:
Sustainable Computing: Informatics and Systems. 37:100845
Publikováno v:
ACIT
The uprising number of electric vehicles on company parking sites creates a variety of challenges, in terms of scheduling charging processes. In uncoordinated charging, peaks loads can occur that harm the low voltage grid and make the company pay a h
Publikováno v:
ACIT
Parking lots of cities and companies are congested when employees get to work in the morning hours. Some people might need to switch to public parking spaces if there is no spot left at their workplace. This is a serious challenge, as nowadays and es
Autor:
Andreas Berl, Markus Eider
Publikováno v:
ACIT
Lithium-ion batteries in electric vehicles are subject to degradation, which is strongly influenced by the actions of vehicle users. Hereby, inexperienced users can cause the battery to reach its end of life state earlier than average. For this reaso
Autor:
Andreas Berl, Markus Eider
Publikováno v:
2018 International Conference of Electrical and Electronic Technologies for Automotive.
Electric vehicles equipped with Lithium-ion batteries face performance loss due to battery ageing. This effect can be actively influenced through behaviour introduced by vehicle users. Therefore, this paper proposes a dynamic recommendation architect
Autor:
Andreas Berl, Markus Eider
Publikováno v:
e-Energy
Prolonging the lifetime of batteries in Electric Vehicles (EVs) becomes a more and more important issue for private users and fleet operators. In addition to the environmental point of view, a better battery health results in less cost, higher batter
Publikováno v:
e-Energy
The increasing number of electric vehicles has a growing impact on the power grid. Therefore, charging processes need to be scheduled. In order to clarify and solve the challenges of scheduling the charging of a fleet, this paper analyses, categorize
In this paper, a novel approach for improving battery lifetime is proposed. To reach this goal, electric vehicle internal data is analysed, the battery health influence of driving and charging parameters is estimated and recommendations for battery h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::95ff74954e1142dc83398b0bb86be08b
https://mediatum.ub.tum.de/doc/1462977/document.pdf
https://mediatum.ub.tum.de/doc/1462977/document.pdf
Publikováno v:
2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) & 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP).
Predictive maintenance is a promising approach but upgrading existing machinery is expensive and difficult, thus replacing the machines is economically not worthwhile. A simple solution to upgrade existing machinery is required. With the proposed age