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Robustness and performance evaluations for simulation-based control and component parameter optimization for a series hydraulic hybrid vehicle
Linköping University, Department of Management and Engineering, Fluid and Mechatronic Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-3207-2714
Linköping University, Department of Management and Engineering, Fluid and Mechatronic Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-3877-8147
Linköping University, Department of Management and Engineering, Fluid and Mechatronic Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-2315-0680
2019 (English)In: Engineering optimization (Print), ISSN 0305-215X, E-ISSN 1029-0273, p. 1-19Article in journal (Refereed) Epub ahead of print
Abstract [en]

Simulation-based optimization is a useful tool in the design of complex engineering products. Simulation models are used to capture numerous aspects of the design problem for the objective function. Optimization results obtained can be assessed from various perspectives. In this study, component and control optimization of a series hydraulic hybrid vehicle is used as an application, and different robustness and performance aspects are evaluated. Owing to relatively high computational loads, efficient optimization algorithms are important to provide sufficient quality of results at reasonable computational costs. To estimate problem complexity and evaluate optimization algorithm performance, the definitions for information entropy and the related performance index are extended. The insights gained from various simulation-based optimization experiments and their subsequent analysis help characterize the efficiency of the optimization problem formulation and parameterization, as well as optimization algorithm selection with respect to parallel computation capabilities for further development of the model and optimization framework.

Place, publisher, year, edition, pages
Taylor & Francis, 2019. p. 1-19
Keywords [en]
Simulation-based optimization, information entropy-rate-based performance index, robustness analysis, direct search optimization, hydraulic hybrid vehicle
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:liu:diva-156185DOI: 10.1080/0305215X.2019.1590566OAI: oai:DiVA.org:liu-156185DiVA, id: diva2:1303058
Available from: 2019-04-08 Created: 2019-04-08 Last updated: 2019-04-15Bibliographically approved
In thesis
1. Simulation-Based Optimization of a Series Hydraulic Hybrid Vehicle
Open this publication in new window or tab >>Simulation-Based Optimization of a Series Hydraulic Hybrid Vehicle
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Hybrid transmissions are characterized by their utilization of more than one form of energy storage. They have the potential to help reduce overall fuel consumption and vehicle emissions by providing the possibility of brake energy recuperation and prime mover operation management. Electric hybrids and electric vehicle drives are nowadays ubiquitous, and mechanical energy storage in flywheel has been investigated in the past. The use of fluid power technology with a combustion engine has also been investigated since the late 1970s, and is frequently revisited.

Hydraulic hybridization is especially attractive for heavy vehicles with frequent braking and acceleration which benefit most from fluid power components’ high power density, typically busses, delivery or refuse vehicles, and vehicles with existing hydraulic circuits and transmissions, such as forest and construction machinery, but have been considered for smaller vehicles as well.

Due to the characteristic discharge profile of hydraulic energy storage, special attention needs to be paid to control aspects in the design process to guarantee drivability of the vehicle. In this respect, simulation models can be of use in early design process stages for cheaper and faster evaluation of concepts and designs than physical experiments and prototyping, and to generate better understanding of the system studied. Engineering optimization aids in the systematic exploration of a given design space, to determine limits and potentials, evaluate trade-offs and potentially find unexpected solutions. In the optimization of a hydraulic hybrid transmission, the integration of component and controller design is of importance, and different strategies (sequential, iterative, bi-level and simultaneous approaches) are conceivable, with varying consequences for the implementation.

This thesis establishes a simulation-based optimization framework for a hydraulic hybrid transmission with series architecture. Component and control parameter optimization are addressed simultaneously, using a rule-based supervisory control strategy. The forward-facing dynamic simulation model at the centre of the framework is built in Hopsan, a multi-disciplinary open-source tool developed at Linköping University. The optimization is set up and conducted for an example application of an on-road light-duty truck over standard drive cycles. Both results from these experiments as well as the framework itself are studied and evaluated. Relevant design aspects, such as explicit design relations to be considered and performance requirements for more robust design, are identified and addressed, and the optimization problem is analysed with regard to algorithm performance and problem formulation. The final result is an optimization framework that can be adjusted for further in-depth studies, for example through the inclusion of additional components or optimization objectives, and extendable for comparative analysis of different topologies, applications and problem formulations.  

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2018. p. 72
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1916
National Category
Aerospace Engineering
Identifiers
urn:nbn:se:liu:diva-145387 (URN)10.3384/diss.diva-145387 (DOI)9789176853443 (ISBN)
Public defence
2018-03-23, C3, C-huset, Campus Valla, Linköping, 09:15 (English)
Opponent
Supervisors
Available from: 2018-02-27 Created: 2018-02-27 Last updated: 2019-09-26Bibliographically approved

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Baer, KatharinaEricson, LiselottKrus, Petter

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