Deliverable 3.1 Business Analysis - Green eMotion Project

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With regard to Clearinghouse services, the EVPP provides a number of added services which shall coordinate the behavior of EV fleets while communicating with external power system providers. The services can be separated into two levels: Aggregated level (involves energy market and DSO) and individual level (EVSE, EV and DSO). Figure 13 provides an idea of the mentioned services and the levels they belong to. Figure 13: EDISON’s EVPP functionality 15 From the Edison project perspective, one of EVPP’s key functions is forecasting. This includes • behavior and consumption forecasting of EVs • forecasting of possible grid overload situations • forecasting overall charging energy needs • forecasting the expected delivery of regulation power through V2G In terms of EV user identification and authentication, EDISON uses IEC/ISO 15118. On this way, charging schedules, charging status and value added services can be communicated as well. 3.1.7 FutureFleet FutureFleet aims to look into the opportunities to use EVs as company cars. During a field test between January to September 2011, SAP and MVV Energy will therefore integrate electric cars into their car fleets. In order to provide the necessary charging capacities, MVV exclusively relies on renewable energy sources. The field test is supported by a software prototype enabling smart management of company car 15 EDISON consortium (2011): WP3 report D3.1 of the EDISON project http://www.edisonnet.dk/Dissemination/Reports/D3.1.aspx, retrieved on 08.11.2011. GA MOVE/FP7/265499/Green eMotion WP 3: Deliverable 3.1 Page 34 of 147
fleets. On this way, the interrelationships between mobility needs, technical possibilities and new requirements associated with the EV use can be analyzed. In the scope of the field tests, a number of key issues will be focused on, such as • User acceptance • Changes in transport habits • Barriers to the use of EVs in company fleets With regard to this, Future fleet will be supported by the research partners Oeko-Institut, the Institute for Social Ecological Research (ISOE), and the Mannheim University of Applied Sciences. Figure 14: The FutureFleet approach 16 The FutureFleet Management System consists of three different layers which are connected with each other via clearly defined interfaces. Figure 14 given an idea of the system and its three layers. The FutureFleet Prototype is the software architecture that is responsible for both route and charging spot scheduling as well as authentication. The Infrastructure consists of Charge Spots and a Charge Master. The charging spots do not only provide EVs with electricity but also transfer data from the EV’s communication box (communication box) to the Charge Master. This data covers current state of charge (SoC) and authentication data. The Charge Master in turn feeds back to charging points. 16 Figure provided by SAP AG (2011). GA MOVE/FP7/265499/Green eMotion WP 3: Deliverable 3.1 Page 35 of 147
Page 1 and 2: Deliverable 3.1 Business Analysis D
Page 3 and 4: 1.4 Nov. 21, 2011 Detlef Schumann F
Page 5 and 6: 5.2.5 Energy scenarios 118 6 Requir
Page 7 and 8: List of Tables Table 1: Requirement
Page 9 and 10: 1 Executive Summary: Green eMotion
Page 11 and 12: EV Service Provider: Better Place A
Page 13 and 14: develop missing components. The Eur
Page 15 and 16: Also, this document presents an ide
Page 17 and 18: Figure 2: G4V road map to 2020 and
Page 19 and 20: Figure 3: ELVIRE ICT infrastructure
Page 21 and 22: Figure 4: ELVIRE driving services -
Page 23 and 24: Figure 6: ELVIRE generic services -
Page 25 and 26: Every electric mobility customer ca
Page 27 and 28: • Checking charging authorization
Page 29 and 30: • Introduction of interoperable c
Page 31 and 32: Figure 9: EDISON communication sche
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Page 41 and 42: To be able to test the by EDF deplo
Page 43 and 44: 4 Stakeholder Analysis This section
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Actors involved (systems) EVCC, com
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End of charge time Energy load leve
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Attribute ID Name Actors involved C
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ID Name Actors involved Context Ref
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Outputs Precedents Successors Descr
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Open questions Business Model Cost
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5.2.3 Roaming Scenarios Category Bu
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enable the exchange of information
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Figure 44: Authentication and servi
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Location of charging point • Stre
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5.2.4 OEM Business Scenarios EV’s
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This following scenario comprises s
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ased on pre-defined profile), or ad
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Tracking & Tracing Vehicle Monitori
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Figure 48: Triangle of energy goals
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modulation. A communication standar
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Actors involved Context Reference D
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Information gathered in this scenar
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Inputs − End user enrollment in t
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6 Requirements for the GeM WP3 Mark
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Appendix: Stakeholder Interviews In
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- 24.11.2010 22,4284 0,2 15:30 - 24
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• Enel Distribuzione, being an EV
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the EMM (which has integrated both
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4.4 No additional requirements, but
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dynamic scenarios expected for 2020
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4.1 4.2 4.3 4.4 • Booking app for
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Deliverable 3.1 Business Analysis - Green eMotion Project

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