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Energy optimized routing for E-Vehicles

Suske, David and Sohr, Alexander and Neidhardt, Eric (2020) Energy optimized routing for E-Vehicles. In: 2020 International Conference on Smart Transportation and Future Mobility (CSTFM 2020). 2020 International Conference on Smart Transportation and Future Mobility, 19.–21. Okt. 2020, Madrid, Spain.

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Official URL: http://www.cstfm.org/process


Abstract: The demand for routing tailored to electric vehicles will increase in the future due to the increasing number of users of electric vehicles. A growing number of people will face the same problem. What is the fastest energy-optimized route for my electric car to my destination? This paper describes the factors that influence the energy-optimized routing of electric vehicles. In particular, it shows how the influencing factors are used in routing and how they can be mathematically combines to obtain a general description. The influencing factors: topology of charging stations, energy consumption, topology of infrastructure, seasonal dependency and individual driving behaviour are described. Furthermore, this paper shows the interactions between the factors. A new method for determining necessary edge weights is then presented mathematically in general. This weighting function was developed in the DLR project "Vehicle Intelligence and Smart Gearing" using empirical data analysis. The resulting equation can be applied iteratively to existing routing graphs to determine qualified edge weights. Existing current methods for routing are using the manufacturer information for the power consumption per 100 kilometers to generate a weight for their edges on the routing graph. Since consumption is only measured by the distance travelled, the shortest distance is always the one with the lowest energy consumption. Furthermore, in existing systems, the consumption is always constant for the same distance. This does not correspond to reality, since the range or consumption can increase or decrease with temperature differences. In addition, manufacturers of electric vehicles produce standardized consumption values that are generated under laboratory conditions and cannot be reproduced in reality. This paper shows how a single function can look like that mathematically combines different influencing factors. This result can be applied to existing routing systems to generate new, more qualified edge weights for energy-optimized routing.

Item URL in elib:https://elib.dlr.de/129501/
Document Type:Conference or Workshop Item (Speech)
Title:Energy optimized routing for E-Vehicles
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Suske, DavidUNSPECIFIEDhttps://orcid.org/0000-0002-7038-3735UNSPECIFIED
Sohr, AlexanderUNSPECIFIEDhttps://orcid.org/0000-0001-6698-2092UNSPECIFIED
Neidhardt, EricUNSPECIFIEDhttps://orcid.org/0000-0002-5111-6324UNSPECIFIED
Journal or Publication Title:2020 International Conference on Smart Transportation and Future Mobility (CSTFM 2020)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Navigation Systems, Electric Vehicles, Engine-Efficiency
Event Title:2020 International Conference on Smart Transportation and Future Mobility
Event Location:Madrid, Spain
Event Type:international Conference
Event Dates:19.–21. Okt. 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - D.MoVe (old), V - Movement (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems
Deposited By: Suske, M. Eng. David
Deposited On:15 Nov 2019 09:08
Last Modified:27 Jan 2021 19:54

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