Thesis: Adaptive Gearbox Control through machine learning

Background of thesis project
The purpose of the thesis work is to investigate machine learning methods for adaptive gearbox control.
Deviations in the control of a gear shift can cause discomfort and decrease the lifetime of the components. The objective is to identify these deviations using machine learning methods. This information can then be used to apply corrective control measures.
Suitable background
The students should preferably have a background in computer science, machine learning, optimization theory, mechatronics or hydraulics engineering.
Experience and interest in automotive applications is valuable. Own drive, curiosity, ability to analyze, conclude and document is important skills.
Description of thesis work
The study should contain a theoretical part where different machine learning methods are compared and implemented in a simulation study.
Finally the most suitable method can be implemented on production hardware and be compared with the existing implemented control in a transmission test bench or machine.
The focus of the thesis will be on investigation through data analysis and simulation, implementation and test on testbench or machine and documentation of algorithms.
Thesis Level: Master
Language: English
Starting date: Jan-Feb 2020
Number of students: 2
Tutor:
Anders Löfgren, Function Leader, +46(0)-70 003 4671

会社概要

The Volvo Group is one of the world’s leading manufacturers of trucks, buses, construction equipment and marine and industrial engines under the leading brands Volvo, Renault Trucks, Mack, UD Trucks, Eicher, SDLG, Terex Trucks, Prevost, Nova Bus, UD Bus and Volvo Penta.

Volvo Construction Equipment is a global company driven by passion, curiosity and by our purpose: to build the world we want to live in. We believe that only through imagination and teamwork can we develop a world that is cleaner, smarter and more connected. Our company culture reflects this belief through the care and trust it places in our customers, employees and suppliers. People are at the heart of our business. It is through our strong network of talented, enquiring and innovative minds that we have been able to pave the way towards a more sustainable future. The global construction industry is our arena and our employees are our greatest assets.

We can only continue to stand out as industry leaders through the people driving us forwards. Come be a part of our team and help us build tomorrow.

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