HEИндивидуална стипендия2022–2024

OPENSRUM · Optimal Power Conversion and Energy Storage System for Safe and Reliable Urban Air Mobility

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период: 2022-05-01 → 2024-04-30
Финансиране от ЕС: 230 774 €
Участници: 2
Схема: HORIZON-TMA-MSCA-PF-EF

Линиите свързват координатора с партньорите.

Накратко на български

Електрическите самолети за градски транспорт (eVTOL) изискват оптимизирани батерии и системи за управление на енергията. Тези подобрения помагат за намаляване на теглото на машините, увеличават времето за полет и подобряват безопасността на полетите.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Optimal Power Conversion and Energy Storage System for Safe and Reliable Urban Air Mobility

The OPENSRUM project focuses on the design optimizations in electric vertical takeoff and landing (eVTOL) aircraft, which are actively under development for electrifying urban air mobility (UAM). This project aims to address the growing need for sustainable urban transportation solutions by developing efficient, safe, and reliable eVTOL systems. The specific subsystems considered in the project include the battery energy storage system, battery management system (BMS), and power electronic converters used for driving the eVTOL motors. These subsystems are interconnected and communicate with the flight control computer (FCC) that manages the eVTOL flight mission. The main objective of the project is to optimize the design of these subsystems to achieve aircraft weight reduction, efficient power converter topology, and an intelligent battery management system. These design optimizations are expected to result in: 1) Aircraft Weight Optimization: By reducing the overall weight, the eVTOL can achieve better performance and efficiency, leading to longer flight times and greater payload capacity. 2) Efficient Power Converter Topology: Improved power converter efficiency reduces energy loss, enhancing the overall system performance. 3) Intelligent Battery Management System: Advanced BMS ensures better safety, reliability, and longevity of battery packs. The design solutions developed in this project are generic and can be applied to a wide range of electric aircraft, making them versatile and adaptable. The results obtained in the project are summarized as follows: 1) Development of an optimized DC bus architecture featuring reconfigurable batteries and wide bandgap (WBG) semiconductor-based multilevel inverters, balancing power converter efficiency and cable weight. Silicon carbide (SiC) is the chosen WBG device. 2) Design of power converters that minimize electromagnetic interference (EMI) while using the optimized DC bus architecture. 3) Creation of a smart battery management system with wireless communication and an intelligent controller. This includes an integrated half-bridge power electronic converter at the cell level for lossless balancing and advanced diagnostic algorithms. 4) Implementation of innovative real-time battery parameter extraction methods for accurate state estimation, enhancing the safety of the energy storage system. 5) Development of machine learning (ML) powered state estimation algorithms for online computations within the eVTOL BMS. The project involved extensive modeling, algorithm development, hardware design, development, and testing. Experimental setups were systematically developed to validate the proposed design solutions and algorithms. The proposed solution can improve the existing eVTOL performance in terms of increased safety annd longevity of the battery packs while ehnancing the payload-to-weight ratio with an efficient power conversion system for driving the eVTOL motors.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The research proposal addresses the design challenges in the power conversion and the energy storage systems in the electric aircraft used for urban air mobility (UAM). The success of UAM as an alternate transportation system is strongly dependent on designing the overall system to be safe, efficient and reliable. This proposal focuses on improving the power conversion efficiency and designing a smart wireless battery management system (BMS) with accurate battery state-of-charge (SoC) and state-of-health (SoH) estimations. Another desirable aspect in the UAM aircraft is improving the overall payload capacity, which is impacted by the weight of the batteries, interconnection wiring and power conversion efficiency. The proposal aims to improve it by increasing the voltage of the Li-ion battery packs above the current state-of-the-art, which would reduce the current rating and cable weight, while identifying a power converter topology to maximize the overall efficiency. The design optimisation will consider the impacts of higher insulation requirement with higher voltages and overall cost. The power converter topology and the accompanying filters are optimised to reduce electromagnetic interference that can affect the sensitive electronics on the aircraft. The proposal explores data-driven machine-learning based methods to improve the accuracy of the SoC and SoH estimations and reduce the gap between peak error and the root-mean-square error (RMSE). A reduction in the gap between peak and RMSE will provide a reliable upper bound unlike for the case when estimation methods show a lower RMSE but a wide variation in the peak error. The wireless BMS will provide the advantage of easier maintenance and elimination of the conventional wiring weight.This is a timely and innovative project that will help in novel technology development for UAM industry. It will help the applicant gain additional technical and managerial skills that would ensure a successful research career.

Оригинален текст от CORDIS (на английски).

Участници

AALBORG UNIVERSITET · AalborgКоординаторДания
CHALMERS TEKNISKA HOGSKOLA AB · GoteborgШвеция