Search results for "Internal resistance"

showing 3 items of 3 documents

Method for measuring internal resistance of batteries in WSN

2014

Engineeringbusiness.industryElectrical engineeringInternal resistancebusinessIEEE SENSORS 2014 Proceedings
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Performance evaluation and stability of silicide-based thermoelectric modules

2020

Abstract Long-term studies on thermoelectric generators based on N-type magnesium silicide (Mg2.01Si0.49Sn0.5Sb0.01) and P-type higher manganese silicide (Mn0.98Mo0.02Si1.73Ge0.02) materials are presented, in the operating temperature range of 200 °C–400 °C. Emphasis is put on the performance and reliability of the current collector configuration, especially on the hot side of the module, and on the thermomechanical stresses that are created during operation and lifetime testing as a result of large temperature gradients experienced across the thermoelectric legs. With silver (Ag) paste as contact material, the long term-stability of the uni-couples was carried out on non-metalized legs and…

010302 applied physicsMaterials scienceOpen-circuit voltage02 engineering and technologyInternal resistanceCurrent collector021001 nanoscience & nanotechnologyMagnesium silicide01 natural sciencesIsothermal processVDP::Teknologi: 500::Elektrotekniske fag: 540chemistry.chemical_compoundThermoelectric generatorchemistry0103 physical sciencesThermoelectric effectSilicideComposite material0210 nano-technology
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Predicting the Batteries' State of Health in Wireless Sensor Networks Applications

2018

[EN] The lifetime of wireless sensor networks deployments depends strongly on the nodes battery state of health (SoH). It is important to detect promptly those motes whose batteries are affected and degraded by ageing, environmental conditions, failures, etc. There are several parameters that can provide significant information of the battery SoH, such as the number of charge/discharge cycles, the internal resistance, voltage, drained current, temperature, etc. The combination of these parameters can be used to generate analytical models capable of predicting the battery SoH. The generation of these models needs a previous process to collect dense data traces with sampled values of the batt…

Battery (electricity)EnergyState of healthComputer science020209 energyProcess (computing)Battery02 engineering and technologyInternal resistanceWireless sensor networksReliability engineeringState of health (SoH)TECNOLOGIA ELECTRONICAMicrocontrollerHardware_GENERALControl and Systems EngineeringModels0202 electrical engineering electronic engineering information engineeringComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSElectrical and Electronic EngineeringMicrocontrollersWireless sensor networkVoltage
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