Optimization of rule-based energy management strategies for hybrid vehicles using dynamic programming

• Autorzy: Zhu Di , Pritchard Ewan , Dadam Sumanth Reddy , Kumar Vivek , Xu Yang

Identyfikatory

DOI

10.19206/CE-131967

• Języki publikacji: EN

Abstrakty

EN

Reducing energy consumption is a key focus for hybrid electric vehicle (HEV) development. The popular vehicle dynamic model used in many energy management optimization studies does not capture the vehicle dynamics that the in-vehicle measurement system does. However, feedback from the measurement system is what the vehicle controller actually uses to manage energy consumption. Therefore, the optimization solely using the model does not represent what the vehicle controller sees in the vehicle. This paper reports the utility factor-weighted energy consumption using a rule-based strategy under a real-world representative drive cycle. In addition, the vehicle test data was used to perform the optimization approach. By comparing results from both rule-based and optimization-based strategies, the areas for further improving rule-based strategy are discussed. Furthermore, recent development of OBD raises a concern about the increase of energy consumption. This paper investigates the energy consumption increase with extensive OBD usage.

Słowa kluczowe

EN

energy management strategy; rule-based; dynamic programming; OBD; on-board diagnostics; hybrid electric vehicles

PL

strategia zarządzania energią; systemy oparte na regułach; programowanie dynamiczne; OBD; diagnostyka pokładowa samochodu; hybrydowe pojazdy elektryczne

• Wydawca: Polskie Towarzystwo Naukowe Silników Spalinowych
• Czasopismo: Combustion Engines
• Rocznik: 2021
• Tom: R. 60, nr 1
• Strony: 3--10
• Opis fizyczny: Bibliogr. 22 poz., 1 il., 1 fot. kolor., wykr.

Twórcy

autor

Zhu Di

• FREEDM Systems Center, North Carolina State University, United States

• https://orcid.org/0000-0002-6981-7524

autor

Pritchard Ewan

• FREEDM Systems Center, North Carolina State University, United States

autor

Dadam Sumanth Reddy

• Mechanical Engineering Department, Wayne State university, United States

autor

Kumar Vivek

• Mechanical Engineering Department, Wayne State University, United States

• https://orcid.org/0000-0001-5860-2344

autor

Xu Yang

• FREEDM Systems Center, North Carolina State University, United States

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).