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DOE OSTI · 2583489

Route Energy Prediction (RouteE) Powertrain Validation Report

Abstract

The National Renewable Energy Laboratory's flagship package in the RouteE suite, RouteE-Powertrain, is a mesoscopic energy model that predicts vehicle energy consumption given discrete attributes that describe each segment or link in a vehicle's path on a road network. High-frequency, physics-based, powertrain simulators, such as NREL's FASTSim, are well-suited to model vehicle energy consumption when real driving data and a detailed understanding of the vehicle powertrain specifications are available. However, there are a variety of situations in the past, present (real-time), and future where high-frequency driving data and/or vehicle information may not be available, but reliable energy consumption is still desired, such as energy-aware vehicle routing. These are the ideal applications for RouteE-Powertrain. The suite of RouteE tools also includes RouteE-Compass, which is an eco-routing software that incorporates energy consumption into network routing algorithms, and RouteE-Mobile, which is a prototype smartphone navigation app to demonstrate the integrated capabilities of the RouteE suite for real-world eco-routing. The focus of this validation report is to share key metrics about the data sets and models behind RouteE-Powertrain. The set of RouteE-Powertrain models discussed in this report are made available through the RouteE web API through the NREL Developer Network.

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BibTeXRIS

Holden, Jacob [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:0000000243841171), Reinicke, Nicholas [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:0000000337633031), Hoshiko, Joshua [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:0000000274876182), Gonder, Jeffrey [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:000000020788588X). 2025-06-10. Route Energy Prediction (RouteE) Powertrain Validation Report. https://doi.org/10.2172/2583489

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