APAS – Automated Powerunit Architecture Selection and Control Strategy Generation

This IDE funded project aims to develop capability to model and simulate powerunit systems and controllers for a variety of architectures. These models are then used to assess attribute performance, which in turn then optimises the vehicle architecture to meet a set of targets and requirements.

Collaborative Partners

McLaren Automotive (Lead)
University of Bath
Ricardo UK Ltd

IDE people

Samuele De Guido

Monitoring Officer

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£768k
total project spend

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Two PhD students from the University of Bath will work in close connection with McLaren Automotive and Ricardo to:

 

  • Develop software that allows multiple attributes to be assessed for a single vehicle model, and the architecture to be modified based on these results.

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  • Develop enabling technologies and advanced control and optimisation approaches to allow for the optimum definition of a vehicle powertrain architecture.

Project Summary

 

The APAS project unlocked the opportunity to perform optimisation of a powertrain architecture based on multiple requirements like lap time, CO2 and acceleration performance.  

The project focussed on a single architecture to develop the optimisation routines and developed methods to assess the effectiveness of different optimisation approaches. 

A method was developed to automatically calibrate the torque split hybrid strategy for a given architecture. This was used in the optimisation routine to give a true like-for-like comparison. 

 

The APAS project has:

  • Established a methodology for characterising powertrain components in a way that is useful to an optimiser 

  • Defined a general optimisation process for powertrain component selection using Genetic Algorithms

  • Developed a tool for comparing Equivalent Consumption Minimization Strategy with Dynamic Programming methods for fuel economy optimisation

  • Delivered a software that McLaren can  integrate in their pipeline to evaluate different alternatives in the future

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An IDE Funded Project