A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles

11/25/2021
by   Ayman Moawad, et al.
0

This paper presents a machine learning approach to model the electric consumption of electric vehicles at macroscopic level, i.e., in the absence of a speed profile, while preserving microscopic level accuracy. For this work, we leveraged a high-performance, agent-based transportation tool to model trips that occur in the Greater Chicago region under various scenario changes, along with physics-based modeling and simulation tools to provide high-fidelity energy consumption values. The generated results constitute a very large dataset of vehicle-route energy outcomes that capture variability in vehicle and routing setting, and in which high-fidelity time series of vehicle speed dynamics is masked. We show that although all internal dynamics that affect energy consumption are masked, it is possible to learn aggregate-level energy consumption values quite accurately with a deep learning approach. When large-scale data is available, and with carefully tailored feature engineering, a well-designed model can overcome and retrieve latent information. This model has been deployed and integrated within POLARIS Transportation System Simulation Tool to support real-time behavioral transportation models for individual charging decision-making, and rerouting of electric vehicles.

READ FULL TEXT

page 1

page 3

page 10

research
10/25/2015

Vehicle Speed Prediction using Deep Learning

Global optimization of the energy consumption of dual power source vehic...
research
10/21/2021

A Real-Time Energy and Cost Efficient Vehicle Route Assignment Neural Recommender System

This paper presents a neural network recommender system algorithm for as...
research
03/16/2022

Extended vehicle energy dataset (eVED): an enhanced large-scale dataset for deep learning on vehicle trip energy consumption

This work presents an extended version of the Vehicle Energy Dataset (VE...
research
09/25/2022

Valuation of Public Bus Electrification with Open Data

This research provides a novel framework to estimate the economic, envir...
research
08/09/2021

EVGen: Adversarial Networks for Learning Electric Vehicle Charging Loads and Hidden Representations

The nexus between transportation, the power grid, and consumer behavior ...
research
12/08/2020

Effects of Electric Vehicle Adoption for State-Wide Intercity Trips on the Emission Saving and Energy Consumption

Electric vehicles (EVs) are considered as sustainable alternatives to co...
research
04/10/2020

Data-Driven Prediction of Route-Level Energy Use for Mixed-Vehicle Transit Fleets

Due to increasing concerns about environmental impact, operating costs, ...

Please sign up or login with your details

Forgot password? Click here to reset