Skip to content
Preprint

Validation of a driver model for energy consumption simulations of road vehicles

Aug 2026 · 0 citations · 42 references
Engineering Computer Science

Abstract

The energy performance of road vehicles has traditionally been evaluated using driving cycles, in which a prescribed speed profile is tracked either in simulation or by a physical vehicle. Recent research has proposed an alternative framework based on operating conditions, where the driving environment is described in terms of factors such as road topography, legal speed limits, traffic, and weather, rather than by an explicit speed profile. This paper addresses the complementary problem of driver modeling, necessary to translate the operating conditions to a speed profile. A simple driver model designed to be compatible with the operating-condition framework and evaluates its ability to reproduce realistic driving behavior is investigated. Validation of the model is done through a controlled driving-simulator study vehicle log files collected during real-world operation and are used to identify the model parameters and assess the model's predictive performance. The results suggest that this simple model can be efficient in reproducing major effects of driver behavior, while further research is required to fully assess its validity.

View source

Similar papers

Conference Aug 2026

Intelligent Trip Planning for Battery Electric Vehicles Using Real-Time Map and Elevation Data in MATLAB-Simulink

The increasing tendency of electric mobility needs proper modelling and prediction of the performance of a vehicle in real-world situations. The traditional drive cycles, NEDC and WLTP, are not likely to capture the local driving conditions, road slopes and weather conditions. This work overcomes this shortcoming by cr...

D. Hulwan, Anagha Pandit, Arnav Kamat et al. · 0 citations
Open access 2026

Preparation for Parameter Identification in a Vehicle Dynamics Model

Vehicle dynamics models are important for understanding and predicting vehicle behavior under different operating conditions. However, their practical applicability depends largely on how well the simulated responses reflect the actual performance of the vehicle. Therefore, it is essential to validate the model with re...

Imola Lenke Csajbók, Dániel Nemes · 0 citations
Open access Aug 2026

Inertial sensor-based road condition evaluation in laboratory and real environments

The condition of road surfaces is a critical factor that impacts the technical state of vehicles, the distribution of passenger and freight traffic, and road safety, to name just a few aspects. This issue becomes increasingly important year by year as the automotive industry continues to develop, leading to a growi...

J. Suto · 0 citations
Open access Sep 2026

Mathematical Modelling And Simulation-Based Evaluation Of Electric Powertrain Performance

This study presents a mathematical modeling and simulation-based framework for evaluating the electric powertrain performance of mini passenger electric vehicles under standardized driving conditions. The framework integrates vehicle longitudinal dynamics, electric motor characteristics, transmission behavior, and batt...

Ramkrishna Mohan Kambli, Sagar Navale · 0 citations
Conference Open access 2026

EV Focused Energy-Optimal Driving Behavior Across Urban and Highway Cycles in Different Driving Conditions

We present a unified framework combining theoretical efficiency analysis, route reconstruction, driver-behavior modeling, and full-factorial design-of-experiments (DOE) studies across four driving cycles (NYCC, UDDS, HFEDS, US06) to assess eco-driving for battery-electric vehicles (EVs). Cycles are decomposed into rout...

Prasad Sonavane, Ujjwal Belwariar · 0 citations
Open access Aug 2026

Energy Management Strategy for a Hybrid Commercial Vehicle Considering Road Gradient

To improve the energy efficiency of hybrid commercial vehicles under varying road gradients, this study develops a road-gradient-aware hierarchical energy management framework. An interactive multiple-model Kalman filter (IMM-KF) is employed to estimate the current road gradient by fusing information from vehicle dynam...

Cheng Lin, Jian-Qiang Gong, Jiachong Tu et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.