PhD title :
NVH and efficiency improvement using traction machine
|Recruiting university||Technical University of Darmstadt (DE)|
|Academic supervisors||Prof. Stephan Rinderknecht,|
|Industrial partner||Vibratec (FR)|
|Industrial supervisor||Dr. Christian Clerc|
|Secondments||Compredict (DE), Warsaw University of Technology (PL)|
Sidharth Dave graduated with a Bachelor’s in Mechanical Engineering from Manipal University in India after which he worked with Tata Motors in the capacity of an Automotive Service Engineer, an experience which gave him extensive practical exposure in automotive subsystems. He subsequently obtained his Master’s in Mechanical Engineering (Ground Vehicles) from Politecnico di Milano (Italy) which had a focus in mechanical vibration, dynamics, and control systems. As part of his master’s thesis, he developed a stabilization system for electric vehicle-trailer systems by means of active torque vectoring. Thereafter, he joined a technology startup in Netherlands as an Algorithm Development Engineer. An avid automobile and Formula 1 enthusiast, his interest lies in the domain of noise and vibration, and control systems, specifically in the automotive domain. As an Early Stage Researcher in the LIVE-I Project, he is driven by the opportunity to contribute to the development of efficient and sustainable mobility systems of the future
The project goal is to improve the NVH behaviour of the transmission by using the available electric traction machine of a hybrid vehicle. The goal is to use already existing components in the system for active vibration control. Serval questions have to be tackled within this project in order to find a suitable approach:
- What is the vibration pattern of the transmission?
- What kind of control approach is suited?
- What are the limitations by the traction machine?
- Which and how many sensors are required?
Besides developing and investigating strategies for NVH-improvements, the possibilities of improving the efficiencyvia smart operational strategies of the traction machine will be investigated. Simulations will be carried out to identify useful approaches. Promising strategies will be implemented and tested on an experimental vehicle. This vehicle will also be used to collect driving data. This data will then be used to generate individual driving cycles which can be used for the transmission and active control design, allowing a comparison to a standard driving cycle.