Can I read Power Distribution Strategy of a Dual-engine System for Heavy-duty Hybrid Electric Vehicles Using Dynamic Programming on EtoBox?

Power Distribution Strategy of a Dual-engine System for Heavy-duty Hybrid Electric Vehicles Using Dynamic Programming by Hu, Jiayi; Li, Jianqiu; Hu, Zunyan; Xu, Liangfei; Ouyang, Minggao is a Engineering article available to read on EtoBox.

What is Power Distribution Strategy of a Dual-engine System for Heavy-duty Hybrid Electric Vehicles Using Dynamic Programming about?

In order to enhance the power and bring additional energy-saving possibilities of heavy-duty vehicles, a novel dual-engine system is utilized in a series hybrid electric vehicle. However, the minimum fuel consumption of this configuration is still unclear, and the effective online energy management strategy for this system is absent. The studied vehicle adopts the dual-engine configuration, which is powered by Li-ion batteries and two auxiliary power units. This paper presents a two-step framework to address the energy management problem. A map-based strategy is adopted to distribute power between engines. The dynamic programming (DP) algorithm is incorporated to distribute power between engines and batteries and find the minimum fuel consumption. Simulation results show that the DP algorithm can save 7.3% fuel compared to the charge depleting and charge sustaining strategy. The dual-engine system achieves a 1.9% lower fuel consumption compared with the conventional hybrid system with one engine. The operation points of engines and the power profiles of batteries derived from the DP are analyzed, and a rule-based strategy is designed correspondingly. The proposed rule-based algorit

Who reads Power Distribution Strategy of a Dual-engine System for Heavy-duty Hybrid Electric Vehicles Using Dynamic Programming?

Author

Hu, Jiayi; Li, Jianqiu; Hu, Zunyan; Xu, Liangfei; Ouyang, Minggao

Publisher

Elsevier Science; Thomas Telford; Elsevier ; Thomas Telford Ltd.; Elsevier Ltd.; ICE Publishing Ltd.; Elsevier BV (ISSN 1751-4223)

Published

2021

Language

EN

Field

Engineering (Physical Sciences)