Eco-routing aims to find routes that minimize vehicles’energy consumption, as an alternative to minimumtime or minimum-distance routes. This paper develops a new data-driven energy consumption model for plug-in hybrid electric vehicles, and proposes an algorithm that determines both the optimal path and powertrain strategy. To evaluate the performance of the proposed model and algorithm, we develop and calibrate a simulation model of the Ann Arbor city in SUMO, and implement the eco-routing algorithm with connected and automated vehicles in simulations. The result shows that on average we can achieve an energy saving around 7%-14%, while incurring a slight increase in travel time.
Eco-routing for Plug-in Hybrid Electric Vehicles
20.09.2020
1751383 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Optimal Routing for Plug-In Hybrid Electric Vehicles
Online Contents | 2017
Optimal Routing for Plug-In Hybrid Electric Vehicles
British Library Online Contents | 2017
|Plug‐in Hybrid Electric Vehicles
Wiley | 2011
|Plug‐In Hybrid Electric Vehicles
Wiley | 2017
|