Integrated Convex Speed Planning and Energy Management for Autonomous Fuel Cell Hybrid Electric Vehicles

Meshginqalam, Ata; Bauman, Jennifer

doi:10.1109/tte.2022.3200013

Cited by 11 publications

(1 citation statement)

References 53 publications

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“…Convex optimization, as one of the mathematical tools in the field of optimal control, is an optimization algorithm based on convex sets and convex functions, which has been widely applied in recent years in the field of engine design, such as automotive energy management, communication and signal processing, finance and statistics, etc. [34]. The convex optimization problem is a study of the maximum and minimum values of convex functions under specific constraints.…”

Section: Basic Theory Of Convex Optimizationmentioning

confidence: 99%

Distributed Hybrid Electric Propulsion Aircraft Design Based on Convex Optimized Power Allocation Management

Xiao,

Tan,

Zhang

et al. 2024

Aerospace

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In order to ensure that aircraft have medium and long-range flights, enhanced aerodynamic performance, and reduced fuel consumption, this paper presents an original Distributed Hybrid Electric Propulsion Aircraft (DHEPA) design scheme and proposes a novel power allocation management method based on convex optimization. Firstly, by taking the Tecnam P2006T general-purpose aircraft as a reference, key components of DHEPA are selected and modeled. Then, a power allocation management method for DHEPA is proposed on the basis of convex optimization, which takes the minimum fuel consumption as the performance index to realize the reasonable power allocation of the battery and engine, while avoiding sliding into the local optimum of allocation. Finally, momentum theory and numerical simulation methods are used to analyze the aerodynamic enhancement effect of the propeller on the wing in the DHEPA, and a dynamics method is utilized to calculate the dynamics performance of the aircraft at several important stages. The results show that, compared with the reference aircraft, the lift of the DHEPA is increased by 46%. Under typical sectors, the DHEPA has a higher rate of climb and maximum leveling off speed at cruise, and a significantly lower fuel consumption.

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Section: Basic Theory Of Convex Optimizationmentioning

confidence: 99%