Adopting a Multi-stage Modeling Approach to Series-Hybrid Powertrain Design

Matti Liukkonen

    Research output: ThesisLicenciate's thesisTheses

    Abstract

    This research concentrates on the modeling, design, and control of series-hybrid powertrains in Non-Road Mobile Machineries (NRMMs). Hybridization of mobile machinery powertrains is a topical subject due to needs to decrease CO2 emissions and energy consumption, and the possibility of using alternative power sources. This research proposes a combination of backward, functional, static, quasi-static, and dynamic modeling methods as an approach for the systematic series-hybrid powertrain design. As a result, this research introduces an efficient and systematic modeling approach for the design of series-hybrid powertrains in NRMMs, and investigates the accuracies of the approach. In addition, the research proposes an energy management algorithm for an ultra-capacitor buffered diesel series-hybrid powertrain. The results significantly benefit NRMM powertrain designers and scholars by providing an efficient approach with computationally light and easy to adapt modeling tools for similar studies. The study was conducted due to a need for system-design guidelines for different powertrain options, which are somewhat lacking in the literature. Thus, research into hybridizing or introducing fuel cell powertrain to NRMMs still needs persistent attention by many researchers and engineers for several years until the feasibilities and design principles of different powertrain options will be thoroughly explored and concluded.
    Original languageEnglish
    QualificationLicentiate's degree
    Awarding Institution
    • Aalto University
    Supervisors/Advisors
    • J. Ovaska, Seppo, Supervising Professor
    • Suomela, Jussi, Thesis Advisor
    Publisher
    Publication statusPublished - 2012
    MoE publication typeG3 Licentiate thesis

    Keywords

    • Diesel-electric
    • Energy buring
    • Fuel cell
    • Powertrain design
    • Series-hybrid
    • Mobile work machine
    • Modeling

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