liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Optimal Control for Energy Efficient Vehicle Propulsion: Methodology, Application, and Tools
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Transport is an integral part of society and one of its basic prerequisites. Society is now facing a transition as it must go from dependence on fossil fuels to sustainability. Despite large investments by the vehicle manufacturers, the transition needs to be accelerated for the two-degree (Celsius) target to be reached, which requires new innovations and solutions. 

The development of computers has led to efficient software being available today to numerically solve optimization problems, which enables mathematical modeling and optimization as a systematic problem-solving method. However, taking advantage of the numerical solvers requires specialized knowledge and is a barrier for many engineers. To overcome this and make the problem-solving methodology available, tools that bridge the gap between the engineer’s problem and the numerical solvers are needed. 

The dissertation covers the complete chain from problem to solution, with methods and tools that support the problem-solving process. Software for optimal control is investigated with the aim of making the numerical solvers available to the user. The result is a design based on the introduction of a domain-specific programming language. It makes it possible to automatically reformulate the user’s problem into a form that the computer can handle, while making the program more user-friendly by reducing the difference between the problem domain and the computer’s domain. The result has been developed together with the software Yop, which is used by engineers and researchers nationally and internationally to solve control engineering problems, in academia as well as in industry. 

The software is used to investigate whether an electrified powertrain can be made more efficient by equipping the diesel engine with a larger and more efficient turbocharger, at the expense of increased inertia. The result indicates a gain and that the increased inertia can be compensated by the electric motor. As part of the work, a diesel engine model has been developed, where it has been investigated how relevant effects for turbocharger selection can be included in a way suitable for optimal control. The result is a validated and dynamic diesel engine model that has been made available to the research community through publications and open-source code.  

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2022. , p. 42
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 2270
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-189846DOI: 10.3384/9789179295448ISBN: 9789179295431 (print)ISBN: 9789179295448 (electronic)OAI: oai:DiVA.org:liu-189846DiVA, id: diva2:1709608
Public defence
2022-12-09, TEMCAS, T-building, Campus Valla, Linköping, 10:15 (English)
Opponent
Supervisors
Note

Funding agencies: The work was financed by Vinnova under the program FFI, grant FROST (2016-05380), and program LINK-SIC. The work was also supported by Scania CV AB.

Available from: 2022-11-09 Created: 2022-11-09 Last updated: 2022-11-10Bibliographically approved
List of papers
1. Developing a Dynamic Diesel Engine Model for Energy Optimal Control
Open this publication in new window or tab >>Developing a Dynamic Diesel Engine Model for Energy Optimal Control
2021 (English)In: The First SIMS EUROSIM Conference on Simulation and Modelling SIMS EUROSIM 2021: The 62nd SIMS Conference on Simulation and Modelling SIMS 2021 / [ed] Esko Juuso, Bernt Lie, Erik Dahlquist, and Jari Ruuska, Linköping University Electronic Press, 2021, p. 123-131Conference paper, Published paper (Refereed)
Abstract [en]

A dynamic heavy-duty Euro 6 diesel engine model for energy optimal control is developed. The modeling focus ison accuracy in the entire engine operating range, with attention to the region of highest efficiency and physically plausible extrapolation. The effect of the air-to-fuel ratio on combustion efficiency is studied, and it is demonstrated how this influences the energy optimal transient control. A convenient, physics-based, method for pressure sensor bias estimation is also presented.

Place, publisher, year, edition, pages
Linköping University Electronic Press, 2021
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 185
Keywords
Diesel engine modeling, Optimal control
National Category
Energy Engineering
Identifiers
urn:nbn:se:liu:diva-189842 (URN)10.3384/ecp21185123 (DOI)978-91-7929-219-5 (ISBN)
Conference
SIMS EUROSIM 2021
Available from: 2022-11-09 Created: 2022-11-09 Last updated: 2022-11-09
2. Modeling and Validation of an Open-Source Mean Value Heavy-Duty Diesel Engine Model
Open this publication in new window or tab >>Modeling and Validation of an Open-Source Mean Value Heavy-Duty Diesel Engine Model
2018 (English)In: Simulation Notes Europe, ISSN 2306-0271, Vol. 28, no 4, p. 197-204Article in journal (Refereed) Published
Abstract [en]

The pursuit of lower fuel consumption and stricter emission legislation has made a simulation- and optimization-based development methodology important to the automotive industry. The keystone in the methodology, is the system model. But for the results obtained using a model to be credible, the model has to be validated. The paper validates an open-source, meanvalue engine model of a 13 liter CI inline 6 cylinder heavyduty engine, and releases it as open-source.

Place, publisher, year, edition, pages
Simulation Notes Europe (SNE), 2018
Keywords
Modeling Validation Diesel
National Category
Control Engineering
Identifiers
urn:nbn:se:liu:diva-161110 (URN)10.11128/sne.28.tn.10451 (DOI)
Funder
Vinnova, 2016-05380Vinnova, 2016-05152
Available from: 2019-10-23 Created: 2019-10-23 Last updated: 2022-11-09Bibliographically approved
3. Accurate Simulation for Numerical Optimal Control
Open this publication in new window or tab >>Accurate Simulation for Numerical Optimal Control
2021 (English)In: The First SIMS EUROSIM Conference on Simulation and Modelling SIMS EUROSIM 2021: The 62nd SIMS Conference on Simulation and Modelling SIMS 2021 / [ed] Esko Juuso, Bernt Lie, Erik Dahlquist, and Jari Ruuska, Linköping University Electronic Press, 2021, p. 148-155Conference paper, Published paper (Refereed)
Abstract [en]

Accurate simulation of the numerical optimal control in software environments where call to simulation routines is explicit, for instance Matlab and SciPy. A discussion on the simulation aspects of numerical optimal control, how it may fail, and how such erroneous results can be detected using accurate simulation. The key contribution is how to accurately include a piecewise constant control input in the simulations, which is discussed in detail, including code examples. The technique is demonstrated on an example problem which show how simulation can be used to analyze optimal control problems with uncertainty, but also demonstrates how erroneous simulation may lead to erroneous conclusions.

Place, publisher, year, edition, pages
Linköping University Electronic Press, 2021
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 185
Keywords
simulation, optimal control, direct multiple shooting, direct collocation
National Category
Control Engineering
Identifiers
urn:nbn:se:liu:diva-189844 (URN)10.3384/ecp21185148 (DOI)978-91-7929-219-5 (ISBN)
Conference
SIMS EUROSIM 2021
Available from: 2022-11-09 Created: 2022-11-09 Last updated: 2022-11-09
4. Turbocharger Impact on Diesel Electric Powertrain Performance
Open this publication in new window or tab >>Turbocharger Impact on Diesel Electric Powertrain Performance
2018 (English)In: WCX World Congress Experience, SAE International , 2018Conference paper, Published paper (Refereed)
Abstract [en]

When electrifying the powertrain, there arises an opportunity to revise the traditional turbocharging trade-off between fuel-economy and transient performance. With the help of electrification, it might be possible to make the trade-off in favor of fuel economy, since transient response can be improved by the electric machine. The paper investigates this trade-off by looking at three turbocharger selections. A conventionally dimensioned turbocharger, an efficiency optimized turbocharger with maintained flow capacity, and an efficiency optimized turbocharger with increased flow capacity. The concepts are evaluated on the following cases: stationary operation, engine tip-in performance, vehicle acceleration performance, and on road fuel economy performance. The investigation is based on a validated mean value engine model of a six cylinder inline CI engine, and on a validated driveline and vehicle model of a heavy-duty truck. The evaluations are made with the help of simulations and numerical optimal control. The results show that there is a fuel saving potential, and that the transient response is improved by the electric machine.

Place, publisher, year, edition, pages
SAE International, 2018
Series
SAE technical paper series, ISSN 0148-7191
National Category
Control Engineering Vehicle and Aerospace Engineering
Identifiers
urn:nbn:se:liu:diva-169738 (URN)10.4271/2018-01-0965 (DOI)
Conference
WCX World Congress Experience
Available from: 2020-09-17 Created: 2020-09-17 Last updated: 2025-02-14

Open Access in DiVA

fulltext(10265 kB)1718 downloads
File information
File name FULLTEXT01.pdfFile size 10265 kBChecksum SHA-512
4bd1487e458ab16ec805b74c01bb6338493d1b30c1081b124bd5c0c631e138b7c32d2dabf1d7811dba487a7635aa6f0d8c085e59394ebaf2828355718c14490e
Type fulltextMimetype application/pdf
Order online >>

Other links

Publisher's full text

Authority records

Leek, Viktor

Search in DiVA

By author/editor
Leek, Viktor
By organisation
Vehicular SystemsFaculty of Science & Engineering
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 1731 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 1815 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf