Intelligent fuzzy logic controller for a solar charging system

Huang, Cong-Hui; Huang, Chung-Chi; Ou, Ting-Chia; Lu, Kai-Hung; Hong, Chih-Ming

doi:10.1109/aim.2009.5229853

Cited by 5 publications

(1 citation statement)

References 15 publications

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“…Most HEH systems are either energy harvesters (Colomer et al, 2011;Tan and Panda, 2011) or external micro-battery chargers (Khosropour et al, 2012). This study propose to combine both the harvesting and charging ability of an HEH with possibly fuzzy logic implementation (Huang et al, 2009) which will potentially be integrated into the DC/DC buck charger of its harvester function to lower the overall form factor. The proposed ULP based HEH system uses no battery and in case of an ultra low ambient condition, has a selfstart circuit capable of kick-starting from a light human motion similar to that in (Ramadass and Chandrakasan, 2011).…”

Section: Statement Of Problemmentioning

confidence: 99%

A Novel Architecture of Maximum Power Point Tracking for Ultra-Low-Power Based Hybrid Energy Harvester in Ubiquitous Devices: A Review

Ali²,

Islam

2013

American Journal of Applied Sciences

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This research work presents a novel architecture of an Ultra-Low-Power (ULP) based Hybrid Energy Harvester (HEH) consisting of multiple input sources such as kinetic, thermal and solar energy, harvested from passive human power. Having multiple ambient sources mitigates limitations caused by single sources especially for bodily-worn applications; however, this results in impedance mismatch among the different integrated sources. To overcome this limitation, the proposed ULP-HEH will use one power management unit with Maximum Power Point Tracking (MPPT) algorithm and impedance matching considerations to efficiently manage and combine power harvested from all three sources to achieve ULP consumptions. Among other crucial sub-modules of the ULP-HEH are its Asynchronous Finite State Machine (AFSM) cum resource sharing arbiter to prioritize and share energy sources for overall power reduction, an efficient rectification scheme for the piezoelectric input, an adaptive feedback for ULP conditioning, Zero-Current Switching (ZCS) for semi-lossless switching, a self-start circuit for low ambient startup, a Boost converter, a Buck regulator, a fuzzy-based micro-battery charger and a de-multiplexer to switch between harvesting or charging capabilities. All of which are implemented for maximum output extraction and minimal losses. This ULP-HEH will be developed in PSPICE software, Verilog coding under Mentor Graphics environment and later to be verified using Field Programmable Gate Array (FPGA) board before the final layout implementation in CMOS 0.13-Âµm process technology. This battery-less ULP-HEH is expected to deliver 3.0-5.0V of regulated voltage output from low ambient sources of 35 mV at startup. An efficiency of 90% with an output power of 650 Âµm is expected when all sources are summed. Also, this ULP-HEH is aimed at reducing power consumption to at least twice (<70 ÂµW) of conventional approaches. The proposed ULP-HEH can be used for ULP bodily-worn electrical gadgets, wearable biomedical devices or to charge micro-batteries for portable electronic devices

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Section: Statement Of Problemmentioning

confidence: 99%

A Novel Architecture of Maximum Power Point Tracking for Ultra-Low-Power Based Hybrid Energy Harvester in Ubiquitous Devices: A Review

Ali²,

Islam

2013

American Journal of Applied Sciences

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Chaos embedded particle swarm optimization algorithm-based solar optimal ReflexTM frequency charge

Chen

Yau

2015

Journal of Applied Research and Technology

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The battery temperature rise and charge efficiency during the long-term charge in the sun are a very important topic. The traditional common constant current and constant voltage result in quick temperature rise and influence the charge efficiency indirectly. Therefore, the Reflex TM charge is adopted, the chemical reaction of electrolyte is buffered during discharge, so that the battery temperature rises slightly during charge. However, there is no optimum frequency for switching loss and charge efficiency during Reflex TM charge. Therefore, this paper proposes using chaos embedded particle swarm optimization algorithm (CPOS) to minimize the switching loss of battery in charge and discharge conditions. The battery module in Matlab/Simulink environment is used for solar charge, multiple charge modes are compared with traditional common methods. The simulation results show that the Reflex TM method has improved the battery temperature in Matlab/Simulink, and the State of Charge (SOC) is equivalent to other charge modes. It is proved that the method proposed in this paper has significant effect on switching loss and oscillation, and its charge efficiency is equivalent to traditional quick charge.

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Dual-input DC-DC power converter for solar battery charger

2016

2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)

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Intelligent fuzzy logic controller for a solar charging system

Cited by 5 publications

References 15 publications

A Novel Architecture of Maximum Power Point Tracking for Ultra-Low-Power Based Hybrid Energy Harvester in Ubiquitous Devices: A Review

A Novel Architecture of Maximum Power Point Tracking for Ultra-Low-Power Based Hybrid Energy Harvester in Ubiquitous Devices: A Review

Chaos embedded particle swarm optimization algorithm-based solar optimal ReflexTM frequency charge

Dual-input DC-DC power converter for solar battery charger

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