Design estimation of the hybrid power source railway vehicle based on the multiobjective optimization by the dynamic programming

Tomoyuki Ogawa, Hiroaki Yoshihara, Shinji Wakao, Keiichiro Kondo, Minoru Kondo

    Research output: Contribution to journalArticle

    6 Citations (Scopus)

    Abstract

    The power source of hybrid railway vehicles consists of both generation and energy storage devices. The hybrid vehicles have a high degree of freedom in the system design because they have different power sources. Therefore, it is difficult to establish generalized design methods of the power system. Various patterns of device capacities of generation and energy storage equipments are available for the hybrid vehicle. And various types of power control strategies are also selectable. With this background, this paper proposes a globally searched design estimation method for hybrid vehicles, which is based on multiobjective optimization by dynamic programming. The proposed method enables us to globally clarify the optimal candidates in accordance with various railway lines from a wide search domain. This results in various design concepts of the hybrid vehicles. Then, this paper confirms that the proposed method provides effective design guidelines for the conceptual design of the hybrid vehicles. Therefore the proposed method is useful for the design problem of hybrid vehicles that have a higher degree of freedom compared to electric railway vehicles.

    Original languageEnglish
    Pages (from-to)48-55
    Number of pages8
    JournalIEEJ Transactions on Electrical and Electronic Engineering
    Volume3
    Issue number1
    DOIs
    Publication statusPublished - 2008 Jan

    Fingerprint

    Hybrid vehicles
    Multiobjective optimization
    Dynamic programming
    Energy storage
    Conceptual design
    Electric vehicles
    Power control
    Systems analysis

    Keywords

    • Dynamic programming
    • Electric double layer capacitor
    • Energy consumption
    • Fuel cell
    • Hybrid power source
    • Multiobjective optimization
    • Railway vehicle

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

    Cite this

    @article{89907ca208844a158859da6c68ab1cee,
    title = "Design estimation of the hybrid power source railway vehicle based on the multiobjective optimization by the dynamic programming",
    abstract = "The power source of hybrid railway vehicles consists of both generation and energy storage devices. The hybrid vehicles have a high degree of freedom in the system design because they have different power sources. Therefore, it is difficult to establish generalized design methods of the power system. Various patterns of device capacities of generation and energy storage equipments are available for the hybrid vehicle. And various types of power control strategies are also selectable. With this background, this paper proposes a globally searched design estimation method for hybrid vehicles, which is based on multiobjective optimization by dynamic programming. The proposed method enables us to globally clarify the optimal candidates in accordance with various railway lines from a wide search domain. This results in various design concepts of the hybrid vehicles. Then, this paper confirms that the proposed method provides effective design guidelines for the conceptual design of the hybrid vehicles. Therefore the proposed method is useful for the design problem of hybrid vehicles that have a higher degree of freedom compared to electric railway vehicles.",
    keywords = "Dynamic programming, Electric double layer capacitor, Energy consumption, Fuel cell, Hybrid power source, Multiobjective optimization, Railway vehicle",
    author = "Tomoyuki Ogawa and Hiroaki Yoshihara and Shinji Wakao and Keiichiro Kondo and Minoru Kondo",
    year = "2008",
    month = "1",
    doi = "10.1002/tee.20233",
    language = "English",
    volume = "3",
    pages = "48--55",
    journal = "IEEJ Transactions on Electrical and Electronic Engineering",
    issn = "1931-4973",
    publisher = "John Wiley and Sons Inc.",
    number = "1",

    }

    TY - JOUR

    T1 - Design estimation of the hybrid power source railway vehicle based on the multiobjective optimization by the dynamic programming

    AU - Ogawa, Tomoyuki

    AU - Yoshihara, Hiroaki

    AU - Wakao, Shinji

    AU - Kondo, Keiichiro

    AU - Kondo, Minoru

    PY - 2008/1

    Y1 - 2008/1

    N2 - The power source of hybrid railway vehicles consists of both generation and energy storage devices. The hybrid vehicles have a high degree of freedom in the system design because they have different power sources. Therefore, it is difficult to establish generalized design methods of the power system. Various patterns of device capacities of generation and energy storage equipments are available for the hybrid vehicle. And various types of power control strategies are also selectable. With this background, this paper proposes a globally searched design estimation method for hybrid vehicles, which is based on multiobjective optimization by dynamic programming. The proposed method enables us to globally clarify the optimal candidates in accordance with various railway lines from a wide search domain. This results in various design concepts of the hybrid vehicles. Then, this paper confirms that the proposed method provides effective design guidelines for the conceptual design of the hybrid vehicles. Therefore the proposed method is useful for the design problem of hybrid vehicles that have a higher degree of freedom compared to electric railway vehicles.

    AB - The power source of hybrid railway vehicles consists of both generation and energy storage devices. The hybrid vehicles have a high degree of freedom in the system design because they have different power sources. Therefore, it is difficult to establish generalized design methods of the power system. Various patterns of device capacities of generation and energy storage equipments are available for the hybrid vehicle. And various types of power control strategies are also selectable. With this background, this paper proposes a globally searched design estimation method for hybrid vehicles, which is based on multiobjective optimization by dynamic programming. The proposed method enables us to globally clarify the optimal candidates in accordance with various railway lines from a wide search domain. This results in various design concepts of the hybrid vehicles. Then, this paper confirms that the proposed method provides effective design guidelines for the conceptual design of the hybrid vehicles. Therefore the proposed method is useful for the design problem of hybrid vehicles that have a higher degree of freedom compared to electric railway vehicles.

    KW - Dynamic programming

    KW - Electric double layer capacitor

    KW - Energy consumption

    KW - Fuel cell

    KW - Hybrid power source

    KW - Multiobjective optimization

    KW - Railway vehicle

    UR - http://www.scopus.com/inward/record.url?scp=38049132864&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=38049132864&partnerID=8YFLogxK

    U2 - 10.1002/tee.20233

    DO - 10.1002/tee.20233

    M3 - Article

    AN - SCOPUS:38049132864

    VL - 3

    SP - 48

    EP - 55

    JO - IEEJ Transactions on Electrical and Electronic Engineering

    JF - IEEJ Transactions on Electrical and Electronic Engineering

    SN - 1931-4973

    IS - 1

    ER -