Model for simulation of driving behavior during failures in electrified vehicles
The purpose of the project is to develop a model that can represent the driving behaviour during failures in electric vehicles based on real life data from experiments. The proposed driver model will be an extension of the SHC project “Fault-Tolerant Over-Actuated Hybrid Electric Vehicles” in order to gain knowledge of driver-vehicle interaction during a failure.
The plan is to design a failure sensitive driver model using parameters derived from experiments in a moving-base driving simulator performed within the ERA-NET Electromobility+ project EVERSAFE. In the simulator study, the subjects were exposed to three sudden failures in one of the rear wheels that required the driver to compensate to maintain vehicle control and regain the planned trajectory. A co-simulation environment with Matlab/Simulink and Dymola is suggested for the driver model as well as for the failure implementation and activation.
The goal of this study is to create a driver model that can be used in a simulation environment to analyse the influence of various failures in electric vehicles on driver-vehicle interaction. The developed model will further be used to analyse different manoeuvres and driving conditions.
- Vehicle independent road resistance estimation
- Interdisciplinary post-doc cluster for future hybrid vehicles
- Test bench for Optimal Design and Control of Energy Buffers for Minimizing Energy Consumption
- Modellering av hybriddrivlina och avgasefterbehandlingssystem
- Energy efficient driving using electric wheel corner functionalities
- Life-Long Battery Control
- OCEAN – Operating cycle energy management
- Predictive control for complete vehicle energy management
- Testing and evaluation of fault handling strategies in the research concept vehicle
- System level evaluation of diesel engine and emission after treatment systems for hybrid drivetrain applications in dynamic drive cycles
- Evaluation of energy efficient cornering strategies using the KTH Research Concept Vehicle
- Säkra och energieffektiva fordonskonstruktioner
- Dimensioning a plug-in hybrid using drive-cycle information
- Optimore – Optimised Modular Range Extender for every day customer usage
- Energy management of HEVs – fuel optimal control
- Over-actuated fault-tolerant hybrid electric vehicles
- Generic vehicle motion modeling and control for enhanced driving dynamics and energy management
- Overall monitoring and diagnosis of hybrid electric vehicles in realistic scenarios