New Control Methodology for the Next Generation of Engine Management Systems

Lead Research Organisation: University of Warwick
Department Name: Sch of Engineering

Abstract

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Description The project has developed a method to allow the engine calibration process conducted in an automatic way and the time taken is shortened as the intelligent algorithms will find the solution quickly.
Exploitation Route Yes, the algorithms can be taken further by automotive industry.
Sectors Aerospace, Defence and Marine,Energy,Environment,Transport

 
Description Haldex - optimal break 
Organisation Haldex
Country Sweden 
Sector Private 
PI Contribution Following the EPSRC project, the collaboration with Haldex started from last July. Currently, a project student started working on optimisation of Haldex ABS system. Funding application is in consideration.
Collaborator Contribution Sponsor student project and supervise the project.
Impact Student training.
Start Year 2018
 
Description JLR 
Organisation Jaguar Land Rover Automotive PLC
Department Jaguar Land Rover
Country United Kingdom 
Sector Private 
PI Contribution Helped JLR in modelling low pressure exhaust valves
Collaborator Contribution Student placement, supervision of Y3 projects
Impact Student report The initial model of LPEV.
Start Year 2013
 
Title Sub-structured Artificial Neural Network Optimisation Tool 
Description The optimisation tool have a set of neural network components. The users can involve those simulation optimisation blocks through an optimisation process. THe model can represent the best fit engine model for engine calibration. 
Type Of Technology Software 
Year Produced 2017 
Impact The software will lead to auto calbration of engine provess which will shorten the time duration of an engine calbration.