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Oumaima Mechichi, Rochdi Trigui and Lilia El Amraoui
This paper presents the application of the Lambda control strategy derived from Pontryagin?s Minimum Principle (PMP) for parallel PHEV. The proposed method has shown its efficiency for hybrid vehicles. It is here extended to the Plug-in hybrid vehicle ca...
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Christian Bipongo Ndeke, Marco Adonis and Ali Almaktoof
This paper presents an energy management strategy using a Stateflow controller related to DC microgrids with the important penetration of renewable energy. The increase in world electricity demand is one of the principal drivers of the exhaustion of foss...
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Kuo-Yang Wu, Tzu-Ching Tai, Bo-Hong Li and Cheng-Chien Kuo
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Yachao Zhu, Hao Wang, Yuanyang Liu, Gang Lei and Jianguo Zhu
This paper proposes a multiport energy management system (EMS) and its rule-based expert control strategy for a 150 kW range-extended towing vessel (RETV). The system integrates a diesel generator system, a permanent magnet synchronous motor, a lithium b...
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Wongwan Jung and Daejun Chang
This study proposed a deep reinforcement learning-based energy management strategy (DRL-EMS) that can be applied to a hybrid electric ship propulsion system (HSPS) integrating liquid hydrogen (LH2) fuel gas supply system (FGSS), proton-exchange membrane ...
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Yuanjie Ren, Lanyong Zhang, Peng Shi and Ziqi Zhang
The propulsion systems of hybrid electric ship output and load demand have substantial volatility and uncertainty, so a hierarchical collaborative control energy management scheme of the ship propulsion system is proposed in this paper. In a layer of con...
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Andrea Spinelli, Hossein Balaghi Enalou, Bahareh Zaghari, Timoleon Kipouros and Panagiotis Laskaridis
The energy management strategy of a hybrid-electric aircraft is coupled with the design of the propulsion system itself. A new design space exploration methodology based on Set-Based Design is introduced to analyse the effects of different strategies on ...
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Yingtao Zhu, Bingjie Zhu, Xixiang Yang, Zhongxi Hou and Jianan Zong
An energy management strategy for a series hybrid electric propulsion system designed for a fixed-wing vertical take-off and landing (VTOL) aircraft is presented in this paper. The proposed method combines an ideal operating line (IOL) and fuzzy logic. F...
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Erkan Türker, Emre Bulut, Arda Kahraman, Mehmet Çakici and Ferruh Öztürk
In this paper, an energy-management strategy based on fuel economy is presented to achieve a further range increase for range-extended light commercial vehicles. Estimation of the energy-management strategy was carried out using a neural-network-based su...
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Muhammad Paend Bakht, Zainal Salam, Abdul Rauf Bhatti, Waqas Anjum, Saifulnizam A. Khalid and Nuzhat Khan
This study investigates the potential application of Stateflow (SF) to design an energy management strategy (EMS) for a renewable-based hybrid energy system (HES). The SF is an extended finite state machine; it provides a platform to design, model, and e...
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Seongwan Kim and Jongsu Kim
This paper introduces an optimal energy control method whose rule-based control employs the equivalent consumption minimization strategy as the design standard to support a neural network technique. Using the proposed control method, the output command v...
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Jingang Han, Xu Li and Tianhao Tang
With the rapid development of renewable energy technology, marine current energy is treated as the most desirable form of ocean energies. Due to the nature of marine current energy, simple structure, high reliability, and good control performance are the...
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Qi Zhang and Xiaoling Fu
Aiming at the problems inherent in the traditional fuzzy energy management strategy (F-EMS), such as poor adaptive ability and lack of self-learning, a neural network fuzzy energy management strategy (NNF-EMS) for hybrid electric vehicles (HEVs) based on...
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Hybrid Construction Machinery (HCM), known as an effective and crucial solution for the issues of environment pollution and energy shortage, has aroused increasing attention from manufacturers and researchers. A suitable energy management strategy is the...
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Guoying Lin, Yuyao Yang, Feng Pan, Sijian Zhang, Fen Wang and Shuai Fan
With the development of techniques, such as the Internet of Things (IoT) and edge computing, home energy management systems (HEMS) have been widely implemented to improve the electric energy efficiency of customers. In order to automatically optimize ele...
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Oksana Mykoliuk, Nataliia Prylepa
Pág. 114 - 121
The subject matter of the research in the article is the energy security strategy of enterprise, the choice of which for the enterprise is the basis of full functioning, further economic and innovative development. The goal of this article is to identify...
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Ye Yang, Youtong Zhang, Jingyi Tian and Si Zhang
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Ximing Wang, Hongwen He, Fengchun Sun and Jieli Zhang
To explore the problems associated with applying dynamic programming (DP) in the energy management strategies of plug-in hybrid electric vehicles (PHEVs), a plug-in hybrid bus powertrain is introduced and its dynamic control model is constructed. The nu...
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Teng Liu, Yuan Zou, Dexing Liu and Fengchun Sun
This paper presents a reinforcement learning (RL)?based energy management strategy for a hybrid electric tracked vehicle. A control-oriented model of the powertrain and vehicle dynamics is first established. According to the sample information of the exp...
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Ximing Wang, Hongwen He, Fengchun Sun, Xiaokun Sun and Henglu Tang
Plug-in hybrid electric vehicles (PHEVs) have a larger battery and can replace a certain amount of conventional fossil fuels with grid electricity, which differs from the traditional hybrid electric vehicles (HEVs). The application of the onboard electri...
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