- Tytuł:
- 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 - Powiązania:
- https://bibliotekanauki.pl/articles/2097501.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polskie Towarzystwo Naukowe Silników Spalinowych
- Tematy:
-
energy management strategy
rule-based
dynamic programming
OBD
on-board diagnostics
hybrid electric vehicles
strategia zarządzania energią
systemy oparte na regułach
programowanie dynamiczne
diagnostyka pokładowa samochodu
hybrydowe pojazdy elektryczne - Opis:
- 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.
- Źródło:
-
Combustion Engines; 2021, 60, 1; 3--10
2300-9896
2658-1442 - Pojawia się w:
- Combustion Engines
- Dostawca treści:
- Biblioteka Nauki