Seamless Electromobility

Abstract

e existing electromobility (EM) is still in its edgling stage and multiple challenges have to be overcome to make Electric Vehicles (EVs) as convenient as combustion engine vehicles. Users and Electric Vehicle Fleet Operators (EFOs) want their EVs to be charged and ready for use at all times. is straightforward goal, however, is counteracted from various sides: e range of the EV depends on the status and depletion of the EV ba ery which is in uenced by EV use and charging characteristics. Also, most convenient charging from the user's point of view, might unfortunately lead to problems in the power grid. As in the case of a power peak in the evening when EV users return from work and simultaneously plug in their EVs for charging. Last but not least, the mass of EV ba eries are an untapped potential to store electricity from intermi ent renewable energy sources. In this paper, we propose a novel approach to tackle this multilayered problem from di erent perspectives. Using on-board EV data and grid prediction models, we build up an information model as a foundation for a back end service containing EFO and Charging Station Provider (CSP) logic as well as a central Advanced Drivers Assistant System (ADAS). ese components connect to both battery management and user interfaces suggesting various routing and driving behaviour alternatives customized and incentivized for the current user pro le optimizing above mentioned goals. CCS CONCEPTS •Applied computing →Transportation; •Hardware →Smart grid; Energy distribution; •Social and professional topics →User characteristics; •So ware and its engineering →So ware architectures;

Integrating Electric Vehicles to Achieve Sustainable Energy as a Service Business Model in Smart Cities

“…The need to increase environmental concerns and reduce oil supply has sprung the need for research toward the electrification of the transportation sector, and technological development have advanced the rapid integration of EVs in cities. The term electric vehicle refers to vehicles deploying electric motor(s) for propulsion, comprising both rail and road vehicles, underwater and surface vessels, as well as electric aircrafts (Eider et al, 2017). EV aids electricity management as the batteries can store energy to be used as reserve of energy when the EVs are idle.…”

“…By providing energy back to the grid, thereby serving as a distributed energy source. Accordingly, EVs can be leveraged by network operators to enhance renewable energy usage for self-healing or to provide supplementary energy services, so as to lessen the dependency on diesel source generators (Eider et al, 2017). Thus, lessening electricity fluctuations and inefficiencies faced in today's grid.…”

“…The emergence of EV introduces new opportunities and threats to existing energy system. Accordingly, findings from the literature reported that by the end of 2016 ∼1.3 million EVs were globally in used (Eider et al, 2017). EVs may range from hybrid electric cars, plug-in electric cars, and hydrogen vehicles, and may utilize one or more traction engines or electric engines for propulsion (Hinz et al, 2015).…”

Communication Vulnerabilities in Electric Mobility HCP Systems: A Semi-Quantitative Analysis

“…Temporal score = Base score ExploitabilityRemediation Level Report Con f idence (2) where Base score is given in Equation (1) and the other three parameters are described in this section respectively. For the worst case scenario, the temporal metric group has the same score of 8.7 as that of the base metric group.…”

“…Consequently, there is a mutual dependence of humans and such systems on each other: the system reacts on the human interventions and vice versa. To this end, An electric mobility ecosystem is a typical example of an HCPS, where such a system consists of generally five relevant sub-systems (e.g., actors/stakeholders) of electric vehicles (EV), electric vehicle supply equipment (EVSE), electric mobility service provider (eMSP), charging station operator (CSO) and distribution system operator (DSO) [2,3]. As it can be noticed, in addition to the cyber physical system in place, human beings (e.g., EV drivers, grid or charging station operators) are involved in such a system.…”