Research on Energy Management Strategy of Range Extender Electric Vehicle considering Temperature Effect under Different Heat Demands [PDF]
Jianjun Hu, Zijia Wu, Changchun Li
openalex +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Experimental Study on Heuristics Energy Management Strategy for Hybrid Energy Storage System
The energy management strategy (EMS) is a decision-making algorithm for effective power allocation between storage devices in a hybrid energy storage system (HESS). Source voltages, state of charge (SOC), the terminal voltage of the load, and the rate of
Alok Ranjan +4 more
doaj +1 more source
Hybrid buses: defining the power flow management strategy and energy storage system needs [PDF]
Ricardo Barrero +2 more
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Frequency splitting approach using wavelet for energy management strategies in fuel cell ultra-capacitor hybrid system [PDF]
Bourdim Samia +2 more
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Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source
Driven by global climate change and sustainable development, the coordinated development of multiple industries based on photovoltaic energy in the “Desert-Gobi-Wilderness” region has become the key to achieving sustainable development, as well as ...
Zhaotong Song +6 more
doaj +1 more source
Energy Management Strategy of Fuel Cell Electric Vehicles Using Model-Based Reinforcement Learning With Data-Driven Model Update [PDF]
Heeyun Lee, Suk Won
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A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Energy management strategy with smart building control system to reduction electrical load using ANN
Bareq Musaab Jalal +1 more
openalex +2 more sources

