Energy efficient driving using electric wheel corner functionalities
Electrification of powertrains provides a mean for reducing the environmental impact of vehicles by reducing fuel consumption or replacing fossil fuel. Electrified powertrains also enable cost-efficient implementation of active control of vehicle subsystems (traction/braking/steering etc.), which until now has mostly been studied regarding enhanced manoeuvrability and safety.
This project focuses on how the combination of wheel angle (steering/camber) and propulsion control can be utilised to reduce the motion resistance using for example electric wheel corner modules. By building on recent research results, the aim is to develop knowledge on how these subsystems can be used to reduce motion resistance for different manoeuvres.
The knowledge will be disseminated to the international scientific community, to vehicle manufacturers and government agencies through SHC, and thereby contribute to more efficient vehicles as well as a competitive vehicle industry.
- 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
- 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
- Model for simulation of driving behavior during failures in electrified vehicles
- 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