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An enhanced energy management framework based on artificial gorilla troops for optimal operation of grid-connected multi-nanogrids. [PDF]

Sci Rep
Elsayed WT, Abdulnabi A, Ali AA, Saied EM, Selmy M.   +4 more
europepmc   +1 more source

Enhanced power management in PV-Integrated hybrid energy storage systems using fuzzy 2DOF-PI control optimized by hippopotamus algorithm. [PDF]

Sci Rep
Kotb H, Khairalla AG, ElRefaie HB, AboRas KM.   +3 more
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A scenario based analysis of bidirectional electric vehicle-building integration for energy optimization and carbon emission reduction. [PDF]

Sci Rep
Ibrahim AO, Abed AM, Abduvokhidov A, Madaminov B, Madaminov S, Yadav BK, Khedher NB.   +6 more
europepmc   +1 more source

Lightweight hybrid neural network with physics consistency regularization for lithium-ion battery state of health estimation. [PDF]

Sci Rep
Zhang P, Zhang H, Zhou J, Zhou Q, Chen J.   +4 more
europepmc   +1 more source

Sustainable EV routing using spectral clustering and fuzzy reinforcement learning with energy constrained A* under mobility index and waiting constraints. [PDF]

Sci Rep
P AP, R R.
europepmc   +1 more source

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Battery Management System Based on Battery Nonlinear Dynamics Modeling

IEEE Transactions on Vehicular Technology, 2008
This paper presents a method of determining electromotive force and battery internal resistance as time functions, which are depicted as functions of state of charge (SOC) because . The model is based on battery discharge and charge characteristics under different constant currents that are tested by a laboratory experiment. This paper further presents
Antoni Szumanowski, Yuhua Chang
exaly   +2 more sources

From battery modeling to Battery Management

2011 IEEE 33rd International Telecommunications Energy Conference (INTELEC), 2011
The principles of rechargeable battery operation form the basis of the electronic network models developed for Nickel-based aqueous battery systems, including Nickel Metal Hydride (NiMH), and non-aqueous battery systems, such as the well-known Li-ion.
Notten, P.H.L., Danilov, D.
openaire   +2 more sources

Battery Aging, Battery Charging and the Kinetic Battery Model: A First Exploration

2017
Rechargeable batteries are omnipresent and will be used more and more, for instance for wearables devices, electric vehicles or domestic energy storage. However, batteries can deliver power only for a limited time span. They slowly degrade with every charge-discharge cycle. This degradation needs to be taken into account when considering the battery in
Marijn R. Jongerden, Boudewijn R. Haverkort   +1 more
openaire   +1 more source

Battery model for embedded systems

18th International Conference on VLSI Design held jointly with 4th International Conference on Embedded Systems Design, 2005
This paper explores the recovery and rate capacity effect for batteries used in embedded systems. It describes the prominent battery models with their advantages and drawbacks. It then throws new light on the battery recovery behavior, which can help determine optimum discharge profiles and hence result in significant improvement in battery lifetime ...
Venkat Rao, Gaurav Singhal, Anshul Kumar, Nicolas Navet   +3 more
openaire   +1 more source

Statistical Battery Models and Variation-Aware Battery Management

Proceedings of the 51st Annual Design Automation Conference, 2014
Cell-to-cell variability of batteries is a well-known problem especially when it comes to assembling large battery packs. Different battery cells exhibit substantial variability among them due to manufacturing tolerances, which should be carefully assessed and managed.
SHIN, DONGHWA, MACII, Enrico, PONCINO, MASSIMO   +2 more
openaire   +1 more source