probenerИзвестия высших учебных заведений. ПРОБЛЕМЫ ЭНЕРГЕТИКИPower engineering: research, equipment, technology1998-99032658-5456Kazan State Power Engineering University10.30724/1998-9903-2025-27-5-53-66probener-3565Research ArticleЭЛЕКТРОТЕХНИЧЕСКИЕ КОМПЛЕКСЫ И СИСТЕМЫELECTROTECHNICAL COMPLEXES AND SYSTEMSИсследование работы стратегий управления энергией, основанных на правилах в комбинированных энергоустановкахResearch of rule-based energy management strategies for hybrid powertrainshttps://orcid.org/0009-0004-5368-6373КарабаджакИ. Д.KarabadzhakI. D.

Карабаджак Иван Дмитриевич – ассистент кафедры «Теоретические основы электротехники и энергетики»

г. Санкт-Петербург

Ivan D. Karabadzhak

Saint-Peterburg

iwan.karabajack@yandex.ruПетербургский государственный университет путей сообщения (ПГУПС)РоссияSaint-Petersburg State Transport UniversityRussian Federation2025191120252755366Copyright © Карабаджак И.Д., 20252025Карабаджак И.Д.Karabadzhak I.D.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.energyret.ru/jour/article/view/3565

АКТУАЛЬНОСТЬ исследования заключается в моделировании и исследовании работы стратегий управления потоками энергии, основанных на правилах, применительно для комбинированной электроэнергетической установки с аккумуляторной батареей и батареей топливных элементов. ЦЕЛЬ работы: рассмотреть проблемы повышения энергоэффективности, экономичности и долговечности источников в комбинированных энергоустановках при помощи стратегий управления, разработать имитационную модель гибридной системы двумя источниками энергии, провести расчёт модели управляемой четырьмя стратегиями основанных на правилах. РЕЗУЛЬТАТЫ. При решении поставленных задач были разработаны модели и алгоритмы в программном комплексе MatLab. В статье описана актуальность темы, рассмотрены стратегии управления потоками энергии и особенности их работы. Проведено моделирование работы гибридной энергоустановки с различными стратегиями управления, рассмотрена возможность обеспечить работу энергоустановки в заданном диапазоне нагрузки с требуемыми условиями. Представлены результаты моделирования работы в виде общей эффективности и экономичности работы гибридной энергоустановки с разными стратегиями управления. ЗАКЛЮЧЕНИЕ. Все исследованные стратегии обеспечивают работу энергоустановки во всём диапазоне нагрузки с высокой эффективностью. Наиболее эффективной стратегией является стратегия состояний, так как на представленном цикле нагрузки стратегия обеспечивает максимальный КПД 95,43%. Самой экономичной стратегией, при которой расход водорода и воздуха минимален (452,3 и 1076,5 л) – стратегия, основанная на алгоритмах нечёткой логики.

THE RELEVANCE of the study lies in modeling and studying the operation of energy management systems based on rule-based strategies as applied to a hybrid electric powertrain with a battery and a fuel cell stack. THE PURPOSE of the work: to consider the problems of increasing energy efficiency, cost-effectiveness and durability of power sources in a hybrid electric powertrain using energy control strategies, to design a simulation model of a hybrid system with two energy sources, to develop the model controlled by four rule-based strategies. RESULTS. During researching the problems, models and algorithms were developed in the MatLab software. The article describes the relevance of the research, considers energy management control strategies and features of their operation. Simulation of the hybrid powertrain with different control strategies was described, the possibility of ensuring the operation of the powertrain with a given load cycle with the required conditions was considered. The results of the simulation of the operation are presented in the form of overall efficiency and cost-effectiveness of the hybrid powertrain with different control strategies. CONCLUSION. All the studied strategies ensure the operation of the powertrain in the entire load range with high efficiency. The most effective strategy is the state machine control strategy, it implements maximum efficiency on the presented load cycle. The most cost-effectiveness strategy, in which the consumption of hydrogen and air is minimal, is the strategy based on fuzzy logic algorithms.

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The authors declare that there are no conflicts of interest present.