Suche nach „[Berl] [Andreas]“ hat 64 Publikationen gefunden

DigitalNachhaltigF: Angewandte InformatikS: TC Plattling MoMo

Vortrag

Markus Eider, Andreas Berl

Requirements for prescriptive recommender systems extending the lifetime of EV batteries

2020 10th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf

2020

DigitalNachhaltigF: Angewandte InformatikS: TC Plattling MoMo

Vortrag

Nicki Bodenschatz, Markus Eider, Andreas Berl

Mixed-Integer-Linear-Programming model for the charging scheduling of electric vehicle fleets

2020 10th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf

2020

DigitalMobilF: Angewandte InformatikS: TC Plattling MoMo

Beitrag (Sammelband oder Tagungsband)

Nicki Bodenschatz, Markus Eider, Andreas Berl

Mixed-Integer-Linear-Programming model for the charging scheduling of electric vehicle fleets

Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]

2020

DOI: 10.1109/ACIT49673.2020.9208875

Abstract anzeigen

The number of electric vehicles is steadily increasing of the past few years. This transition to electric vehicles bears the challenge, to integrate the charging processes into the grid without overstressing it. To prevent this, research has tackled lately the scheduling of electric vehicle charging. Especially the charging of electric vehicle fleets is in the focus of research. There are already different solution approaches to increase the grid stability, to increase the intake of locally produced renewable energy or simply to reduce the cost. However, all these solution approaches use different mathematical models with different parameters to represent the charging scheduling problem. This results in the problem that each model is applicable for a special use case only, other use cases might need other parameters for the scheduling of the electric vehicle fleet. To ease this problem, this paper provides a detailed mathematical model for the cost minimization of a general electric fleet in the form of a mixed-integer-linearprogram. In order to do this, the paper shows that different research approaches use different parameters in their solutions. Afterwards, the paper presents a general overview of technical limitations for the electric fleets. On foundation of these limitations a mixed-integer-linear-program model for a wide range of electric fleets is established. Also, the paper provides options to extend the model in order to improve the result of an optimal schedule.

MobilNachhaltigF: Angewandte InformatikS: TC Plattling MoMo

Beitrag (Sammelband oder Tagungsband)

Markus Eider, Andreas Berl

Requirements for prescriptive recommender systems extending the lifetime of EV batteries

Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]

2020

DOI: 10.1109/ACIT49673.2020.9209011

Abstract anzeigen

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 reason, this paper proposes the concept of a prescriptive recommender system that supports users in planning their utilization actions. The paper identifies functionalities of decision support systems relevant to extend the lifetime of electric and electronic systems. This allows to determe generic functional and non-functional requirements for prescriptive recommender systems. Further, the derived requirements are discussed in connection to the practicability of a prescriptive recommender system.

NachhaltigF: Angewandte WirtschaftswissenschaftenS: TC Freyung

Zeitschriftenartikel

Christina Sigl, Siegfried Hildebrand, Alexander Faschingbauer, Andreas Berl, J. Geyer, M. Prokýšek, R. Vohnout

Sustainable Peer-to-Peer Energy Trading Principles and Smart Meter Requirements for Smart Grids

Bavarian Journal of Applied Sciences, vol. 5, no. 1, pp. 461-475

2019

DOI: 10.25929/bjas.v5i1.66

Abstract anzeigen

The sustainability and efficiency of the current and future power grid is an important topic nowadays. Thus, the increasing usage of renewable energy sources for generation of electricity requires a more complex infrastructure to manage generation and demand efficiently. In order to stabilize a power grid there are different methods to trade energy sources. Especially for smart grid infrastructures, the most interesting approach is to trade energy peer-to-peer. Thus, we consider different peer-to-peer principles in detail. Particularly, the underlying subsystem is essential for fast and accurate trading. That is why smart meters, forming the lowest layer of the system, are one of the most important parts within the grid infrastructure. Their main task is to provide high quality information and services for smart contracting and also for controlling the power grid with regard to efficiency and sustainability. The information provided by smart meters can also be used within a smart energy management to optimize production and consumption times. This demand side management approach helps to prevent overproduction and hence leads to more sustainablitiy in future decentralized power grids. For this purpose, peer-to-peer methods and smart meters have to fulfil dedicated requirements which are considered here in more detail.

DigitalNachhaltigF: Angewandte InformatikS: TC Freyung

Beitrag (Sammelband oder Tagungsband)

Siegfried Hildebrand, Christina Sigl, Andreas Berl

Smart Grid Technologies for Rural Areas and SMEs

Shaping a Sustainable Energy Future: 9th Colloquium of the Munich School of Engineering (August 1, 2019)

2019

MobilF: Angewandte Informatik

Beitrag (Sammelband oder Tagungsband)

Nicki Bodenschatz, Andreas Berl

Viability and Optimality of Electric Vehicle Fleet Schedules

2019 9th International Conference on Advanced Computer Information Technologies (ACIT'2019) [Ceske Budejovice, Czech Republic, June 5-7, 2019]

2019

ISBN: 978-1-7281-0449-2

Abstract anzeigen

The number of electric vehicles is steadily growing and commercial fleet owners follow this trend. However, the charging of fleets has a major impact on the already stressed power grid. To prevent negative impact on the grid, it is necessary to schedule charging processes. This charging scheduling should not only utilize the existing charging infrastructure and the available resources, but it should furthermore allow an optimized charging schedule, e.g. in terms of cost reduction. This scheduling problem is complex and it needs significant information about infrastructure and fleet in order to create a viable charging schedule. However, not all of the relevant information is always available. For this reason, this paper analysis the possibilities to create a charging schedule with missing information. To achieve this, the paper provides a detailed description of the charging scheduling problem for a day ahead planning and the necessary input parameters. It clarifies the influence of the input parameters on the viability and optimality of a charging schedule. On this base, the paper establishes data sets with different degrees of scheduling possibilities. Further, the paper analyses the affectation of missing input parameters on the scheduling and it provides possible solutions to approximate the missing parameters under the proposition to guarantee the viability of a charging schedule.

MobilF: Elektrotechnik und MedientechnikS: TC Freyung

Vortrag

Markus Eider, Andreas Berl

Verlängerte Batterielebensdauer von Elektrofahrzeugen durch dynamische Nutzungsempfehlungen

4. Jahreskonferenz des Netzwerks INDIGO (Internet und Digitalisierung Ostbayern), Deggendorf

2018

MobilF: Elektrotechnik und Medientechnik

Zeitschriftenartikel

Diana Schramm, Nicki Bodenschatz, Andreas Berl

Usage Profiling in Electric Vehicles

Bavarian Journal of Applied Sciences, vol. 4, no. 1, pp. 342-353

2018

DOI: 10.25929/bjas.v4i1.52

Abstract anzeigen

In the overall effort of reducing CO2 emissions, the significance of alternative drive engines is growing. The transition from combustion engine vehicles to electric vehicles is high on the political agendas, with governments providing extensive funding to promote electric mobility. However, there are still challenges that hamper the dissemination of electric vehicles. One of those challenges is the limited range and the resulting range anxiety. Displayed vehicle range data contribute to this, as they are relatively inaccurate and might vary quite strongly during individual trips. This problem could be addressed by personalizing the range display according to the driving style of the current driver. Driver assistance services, like distance control, are becoming increasingly personalized nowadays, however, they are predominantly designed for internal combustion engine vehicles. In this paper, relevant input parameters for classifying the driving styles of electric vehicle users are identified. Furthermore, a system based on real-life driving data is developed to determine the driving style. Real-life driving data were collected in experiments and used to profile the driving style by means of fuzzy logic. Based on the results, an approach for a realistic classification of driving styles of electric vehicle users is discussed.

DigitalNachhaltigF: Elektrotechnik und MedientechnikS: TC Freyung

Vortrag

Christina Sigl, Alexander Faschingbauer, Andreas Berl

Management of Virtual Desktops in Energy Efficient Office Environments Using Thin Clients

Ninth International Conference on Cloud Computing, GRIDs, and Virtualization (CLOUD COMPUTING 2018), colocated with ComputationWorld 2018, Barcelona, Spanien

2018

DigitalNachhaltigF: Elektrotechnik und MedientechnikS: TC Freyung

Vortrag

Christina Sigl, Alexander Faschingbauer, Andreas Berl, J. Geyer, R. Vohnout, M. Prokýšek

The Role of Smart Meters in P2P Energy Trading in the Low Voltage Grid

Advanced Computer Information Technologies- ACIT 2018, České Budějovice, Czech Republic

2018

DigitalNachhaltigF: Elektrotechnik und MedientechnikS: TC Freyung

Vortrag

Christina Sigl, Andreas Berl

Benchmarking and User Types in Virtual Desktop Infrastructures

2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania

2018

DigitalNachhaltigF: Elektrotechnik und MedientechnikS: TC Freyung

Beitrag (Sammelband oder Tagungsband)

Christina Sigl, Andreas Berl

Benchmarking and User Types in Virtual Desktop Infrastructures

Proceedings of the 2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP) [September 6-8, 2018; Cluj-Napoca, Romania]

2018

ISBN: 978-1-5386-8445-0

NachhaltigS: TC Freyung

Beitrag (Sammelband oder Tagungsband)

Christina Sigl, Alexander Faschingbauer, Andreas Berl, J. Geyer, R. Vohnout, M. Prokýšek

The Role of Smart Meters in P2P Energy Trading in the Low Voltage Grid

Proceedings of ACIT 2018 (International Conference "Advanced Computer Information Technologies")

2018

ISBN: 978-966-654-489-9

MobilNachhaltigS: TC Freyung

Beitrag (Sammelband oder Tagungsband)

Markus Eider, Andreas Berl

Dynamic EV Battery Health Recommendations

ACM e-Energy '18: Proceedings of the Ninth ACM International Conference on Future Energy Systems (June 12-15, 2018; Karlsruhe, Germany), New York, NY

2018

ISBN: 978-1-4503-5767-8

MobilNachhaltigS: TC Freyung

Beitrag (Sammelband oder Tagungsband)

Markus Eider, Andreas Berl

Dynamic Generation of Recommendations for EV Battery Health

2018 International Conference of Electrical and Electronic Technologies for Automotive (AUTOMOTIVE) [9-11 July, 2018; Milan, Italy]

2018

DOI: 10.23919/EETA.2018.8493182

Abstract anzeigen

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 architecture to automatically generate dynamic recommendations in order to prolong battery lifetime. We propose dynamic recommendations as well as requirements for them. The recommendations suggest a certain user behaviour for a specific chronological scope in the future as well as a weight based on their impact on maintaining battery health. Furthermore, we present an exemplary architecture, based on the requirements. Using historical electric vehicle driving data, it can automatically derive dynamic recommendations.

DigitalNachhaltigS: TC Freyung

Vortrag

Christina Sigl, Alexander Faschingbauer, Andreas Berl

WVDI - Workstation based Virtual Desktop Infrastructure. Eine verteilte hyperkonvergente Infrastruktur.

Posterpräsentation

5. Tag der Forschung, Deggendorf

2018

DigitalMobilS: TC Freyung

Vortrag

Christina Sigl, Andreas Berl, Alexander Faschingbauer

Smart Grid-Technologien für ländliche Gebiete und KMU

Posterpräsentation

5. Tag der Forschung, Deggendorf

2018

MobilS: TC Freyung

Vortrag

Nicki Bodenschatz, Markus Eider, Diana Schramm, Andreas Berl

Optimierte Ladeplanung von Elektrofahrzeugflotten

Posterpräsentation

5. Tag der Forschung, Deggendorf

2018

MobilS: TC Freyung

Beitrag (Sammelband oder Tagungsband)

Nicki Bodenschatz, Diana Schramm, Markus Eider, Andreas Berl

Classification of Electric Vehicle Fleets Considering the Complexity of Fleet Charging Schedules

[Status: Presented]

ACM e-Energy '18: Proceedings of the Ninth ACM International Conference on Future Energy Systems (June 12-15, 2018; Karlsruhe, Germany), New York, NY

2018

ISBN: 978-1-4503-5767-8