Speed-Consumption Tradeoff for Electric Vehicle Route Planning*
| Info | Value |
|---|---|
| Year | 2014 |
| Source | Department of Informatics, KIT (opens in a new tab) |
| Main affiliation | Department of Informatics, Karlsruhe Institute of Technology (KIT), Germany |
| Affiliated countries | Germany, United Kingdom, USA |
Main Contribution
- Speeding up shortest path queries
- Minimizing travel speed and energy consumption
Optimisation
- Maximising travel speed
- Minimising energy consuption
Variables
- Limitation of energy supply
- Battery condition
- Usage
- Increase of consumed energy per distance with velocity
- Charging
- Overcharging
- Energy recuperation
- Usage
- Battery condition
- Travel time
- Dynamic velocity in time intervals
Methods
- Pareto optimization for selecting optimal routes based on travel time and energy consumption
- Dynamic speed within same road segment
Datasets
- Road network data
- PTV AG
- Elevation data
- FREE: Shuttle Radar Topography Mission (SRTM) 4.1 from CGIAR Consortium for Spatial Information
- Energy consumption data
- Passenger Car and Heavy Duty Emission Model (PHEM) - Graz University of Technology
Terminologies
- [Bicriteria Shortest Path (BSP)]
- Pareto front
- Routing algorithms
- [Multicriteria optimisation]
- [Road network graphs]
- [Exhaustive algorithm]