A New Method for Solving Objective Function of Hybrid Electric Propulsion System for Intelligent Design

作     者：Yan, Zhi-Wei Wang, Biao Ju, Ting Chen, Wei 

作者机构：Nanjing Univ Aeronaut & Astronaut Coll Energy & Power Engn Nanjing 210016 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Automat Engn Nanjing 210016 Peoples R China Chongqing Jiaotong Univ Inst Aeronaut Chongqing 400074 Peoples R China 

出 版 物：《IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION》 (IEEE Trans. Transp. Electrif.)

年 卷 期：2024年第10卷第2期

页      面：3043-3060页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0823[工学-交通运输工程] 

基　　金：Natural Science Foundation of Chongqing  China 

主　　题：Autonomous aerial vehicles Atmospheric modeling Energy management Aircraft Mathematical models Linear programming Batteries Energy management strategy (EMS) hybrid electric propulsion system (HEPS) objective function 

摘      要：Using hybrid electric propulsion system (HEPS) is one of the ways to reduce aircraft environmental pollution and help to bring the airlines into the all-electric era. However, the objective function of aircraft HEPS for intelligent search design is relatively simple at present. In this article, a new method for solving the objective function of HEPS intelligent design was proposed, which solves the problem of poor accuracy of power level modeling and improves the ability to explore global optimal results. This article took the fixed-wing unmanned aerial vehicle that mainly performs long-range flight tasks as an example. The load curve solving methods were compared, and the entire calculation structure was optimized for computational efficiency. Also, the results of more than 13% fuel saving rate with high fuel efficiency compared with pure fuel-powered flight were obtained. The combination of energy management strategy (EMS) participation in load curve solving and further dynamic programming (DP) optimization in objective function solving was proved to be optimal.