Markus Monhof
University of Münster
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Featured researches published by Markus Monhof.
Computer Science - Research and Development | 2017
Daniel Beverungen; Sebastian Bräuer; Florian Plenter; Benjamin Klör; Markus Monhof
The electric vehicle battery is the crucial component in electric vehicles. It propels the vehicle’s engine and causes around 25 % of the vehicle’s overall costs. Unfortunately, due to deterioration, the battery’s use gradually restricts the vehicle’s driving range, acceleration, and charging speed over time. Only a battery replacement restores the vehicle’s performance. Despite its deterioration, the used battery can be repurposed to serve as a battery energy storage system in less demanding second-life application scenarios. Examples are home storage solutions for energy from photovoltaic panels or larger buffer storage solutions for stabilizing energy from wind parks or solar farms. With strongly increasing numbers of electric vehicles world-wide, some hundred thousand aged batteries can be assumed to be available soon. Considering the necessity for a reliable fit of the targeted second-life application scenario (as context) and the battery energy storage solution built from aged batteries (as form), the decision for which scenario a battery should be repurposed needs to be supported by information systems. Since current research falls short of identifying and prioritizing the requirements that characterize second-life application scenarios, information system developers lack justificatory knowledge to guide and constrain the design of corresponding information systems. In an explorative multi-method study, we set out to identify the requirement categories and metrics that need to be elicited for repurposing batteries. The study (a) contributes a prioritized list of requirement categories and metrics for repurposing batteries, and (b) documents how they were instantiated respectively why they were important in an analyzed case.
european conference on information systems | 2015
Benjamin Klör; Daniel Beverungen; Sebastian Bräuer; Florian Plenter; Markus Monhof
Various automotive companies have demonstrated that used electric vehicle batteries (EVBs), after having been removed from electric vehicles (EVs) due to insufficient capacity or power, can still be repurposed as energy storage for stationary applications. If predictions on the diffusion of EVs prove true, a large amount of used EVBs will be available for repurposing until the end of this decade. As yet, the fundamental economic properties of a market for used EVBs are unexplored. Additionally, the role of information systems as enablers for second life business models and tools for trading used EVBs has not been investigated. Inspired by seminal economic theories and based on reviewing the market for used automotive parts, we offer a first conceptualization of three forms such a market might take, along with their economic properties and stakeholders. We subject these market forms to a conceptual transaction cost analysis and an empirical inquiry based on semi-structured interviews. We find that a market for used EVBs will likely emerge as an intermediary-based market that is supported by automobile companies. Against this backdrop, decision support systems seem to be a more suitable class of information systems than electronic marketplaces to enable the trading of used EVBs.
European Journal of Information Systems | 2018
Benjamin Klör; Markus Monhof; Daniel Beverungen; Sebastian Bräuer
The diffusion of electric vehicles suffers from immature and expensive battery technologies. Repurposing electric vehicle batteries for second-life application scenarios may lower the vehicles’ total costs of ownership and increases their ecologic sustainability. However, identifying the best – or even a feasible – scenario for which to repurpose a battery is a complex and unresolved decision problem. In this exaptation research, we set out to design, implement, and evaluate the first decision support system that aids decision-makers in the automobile industry with repurposing electric vehicle batteries. The exaptation is done by classifying decisions on repurposing products as bipartite matching problems and designing two binary integer linear programs that identify (a) all technical feasible assignments and (b) optimal assignments of products and scenarios. Based on an empirical study and expert interviews, we parameterize both binary integer linear programs for repurposing electric vehicle batteries. In a field experiment, we show that our decision support system considerably increases the decision quality in terms of hit rate, miss rate, precision, fallout, and accuracy. While practitioners can use the implemented decision support system when repurposing electric vehicle batteries, other researchers can build on our results to design decision support systems for repurposing further products.
design science research in information systems and technology | 2015
Markus Monhof; Daniel Beverungen; Benjamin Klör; Sebastian Bräuer
A battery management system BMS is an embedded system for monitoring and controlling complex battery systems in high-tech goods, such as electric vehicles or military communication devices. BMSs are often designed for simplicity and cost efficiency, storing few crucial data on the condition of batteries. With an increasing trend to reuse batteries, BMSs face a need to implement additional functionality to support decision-making tasks. This functionality requires rich data on the structure, usage history, and condition of a battery that is not supported by current BMS type series. Based on expert interviews and document analyses, we sketch a design theory for implementing BMSs that supply the data required for making decisions on how to best reuse battery systems.
european conference on parallel processing | 2014
Felix A. Eichert; Markus Monhof; Kalman Graffi
Peer-to-Peer p2p networks are common in several areas by now. Besides the well-known file sharing platforms, p2p overlays also emerge as a basis for decentralized social networks. In these, the overlay is used as robust storage for several kinds of social information. With gaining relevance, attackers might have an interest in tampering the functionality of the overlay. In this paper we investigate the routing attacks on the distributed hash table Pastry that we use as basis in our p2p social network LifeSocial. We determine through simulations the impact of routing attacks on the performance of the overlay.
ieee conference on business informatics | 2017
Benjamin Klör; Markus Monhof; Daniel Beverungen; Sebastian Bräuer
Due to degradation effects, electric vehicle batteries (EVBs) have a lifetime of approximately ten years in electric vehicles (EVs). Recycling EVBs is inefficient and ecologically undesirable if the batteries can be repurposed to second life scenarios. Decision support systems (DSSs) can be implemented to identify the best second life scenario for which to repurpose individual batteries. However, the properties of EVBs as used products can cause information asymmetries that challenge or even disrupt the market for used EVBs. Providing value-added services with used EVBs is one strategy to mitigate the information asymmetry. Guided by seven design principles, we develop and demonstrate a vertical software prototype for configuring energy storage solutions (ESSs), consisting of used EVBs and value-added services. Core of the system is an item-based collaborative filtering recommender system. The prototype can serve as a blueprint for a class of information systems to repurpose other used goods as customer solutions.
Applied Mechanics and Materials | 2014
Wilhelm Dangelmaier; Thomas Sommer-Dittrich; Jenny Streichhan; Markus Monhof
Using fiber-reinforced composites (FRC) in automotive lightweight construction currently is too expensive to achieve a wide distribution. To assist the engineers’ material selection process suitable information systems are needed. Development of those are a hard task due to the complex structure of FRC. In this paper we give an insight to the problem domain and introduce requirements which should be met by an information system for composite data storage.
european conference on information systems | 2015
Daniel Beverungen; Benjamin Klör; Sebastian Bräuer; Markus Monhof
Wirtschaftsinformatik und Angewandte Informatik | 2015
Benjamin Klör; Sebastian Bräuer; Daniel Beverungen; Markus Monhof
ieee conference on business informatics | 2016
Sebastian Bräuer; Markus Monhof; Benjamin Klör; Florian Plenter; Daniel Beverungen; Christian Siemen