RouteE: A Vehicle Energy Consumption Prediction Engine
Journal Article
·
· Society of Automotive Engineers Technical Paper Series
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
The emergence of connected and automated vehicles and smart cities technologies create the opportunity for new mobility modes and routing decision tools, among many others. To achieve maximum mobility and minimum energy consumption, it is critical to understand the energy cost of decisions and optimize accordingly. The Route Energy prediction model (RouteE) enables accurate estimation of energy consumption for a variety of vehicle types over trips or sub-trips where detailed drive cycle data are unavailable. Applications include vehicle route selection, energy accounting and optimization in transportation simulation, and corridor energy analyses, among others. The software is a Python package that includes a variety of pre-trained models from the National Renewable Energy Laboratory (NREL). However, RouteE also enables users to train custom models using their own data sets, making it a robust and valuable tool for both fast calculations and rigorous, data-rich research efforts. The pre-trained RouteE models are established using NREL’s Future Automotive Systems Technology Simulator paired with approximately 1 million miles of drive cycle data from the Transportation Secure Data Center, resulting in energy consumption behavior estimates over a representative sample of driving conditions for the United States. Validations have been performed using on-road fuel consumption data for conventional and electrified vehicle powertrains. Transferring the results of the on-road validation to a larger set of real-world origin-destination pairs, it is estimated that implementing the present methodology in a green-routing application would accurately select the route that consumes the least fuel 90% of the time. The novel machine learning techniques used in RouteE make it a flexible and robust tool for a variety of transportation applications.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
- Grant/Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1774940
- Alternate ID(s):
- OSTI ID: 1669398
- Report Number(s):
- NREL/JA--5400-78089; MainId:31998; UUID:7290858a-2d0c-494d-b32d-951699ea41f8; MainAdminID:21215
- Journal Information:
- Society of Automotive Engineers Technical Paper Series, Journal Name: Society of Automotive Engineers Technical Paper Series Journal Issue: 5 Vol. 2; ISSN 0148-7191
- Publisher:
- SAE InternationalCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
RouteE: A Vehicle Energy Consumption Prediction Engine
RouteE: A Vehicle Energy Consumption Prediction Engine
Route Energy Prediction (RouteE) Powertrain Validation Report
Conference
·
Tue Apr 14 00:00:00 EDT 2020
·
OSTI ID:1669398
RouteE: A Vehicle Energy Consumption Prediction Engine
Conference
·
Wed Feb 03 19:00:00 EST 2021
·
OSTI ID:1765594
Route Energy Prediction (RouteE) Powertrain Validation Report
Technical Report
·
Mon Jun 09 20:00:00 EDT 2025
·
OSTI ID:2583489