Intelligent Energy Management for Environmental Monitoring Systems

Musílek, Petr; Prauzek, Michal; Krömer, Pavel; Rodway, James; Bartoň, Tomáŝ

doi:10.1016/b978-0-12-809859-2.00005-x

Cited by 19 publications

(12 citation statements)

References 57 publications

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“…The total energy that a piezoelectric transducer can deliver to embedded systems is relatively small, so the powered system must be designed for a very low-power consumption. Low-power techniques can be divided to several classes according to the levels they operate on [9]:…”

Section: B Low-power Methodsmentioning

confidence: 99%

“…transportation vehicles [6], [7] industrial facilities [8], etc.). Construction of a battery-less system is a complex task that requires compliance with the energy-neutrality condition [9]. Long-term operational time of a device can be achieved through different technical solutions, including the use of very low-power MCU and low-power wireless communications (LoraWAN, Sigfox, Weightless, etc.…”

Section: Introductionmentioning

confidence: 99%

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Powering Batteryless Embedded Platforms by Piezoelectric Transducers: A Pilot Study

Prauzek¹,

Konecny²,

Vitasek³

et al. 2019

ElAEE

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This contribution presents a pilot study on powering battery-less embedded systems. First, a piezoelectric transducer principle and low-power techniques are reviewed in the background section. In the experimental part, the authors describe a testing setup consisting of piezoelectric transducer, DC/DC converter with energy storage, and evaluation microcontroller platform (FRDM KL25Z). Three types of experiments have been conducted for two voltage configurations including charging speed, continuous operation and discharge test. Results presented in this article concentrate on power supply voltage (1.8 V and 3.3 V), total efficiency (67.16 % and 76.75 %) and operation times (24.28 s and 15 s) of the embedded system.

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Section: B Low-power Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Powering Batteryless Embedded Platforms by Piezoelectric Transducers: A Pilot Study

Prauzek¹,

Konecny²,

Vitasek³

et al. 2019

ElAEE

Self Cite

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“…One of the first steps to develop a BMS is related to the establishment of a battery model that correctly reflects the battery characteristics over time . However, some subsystems of the BMS, particularly the battery models used to estimate the internal battery state, are not capable of dealing with energy harvesting technologies, making it difficult to tolerate power failures because they can not accurately predict when batteries will stop operating …”

Section: Introductionmentioning

confidence: 99%

An analytical model to estimate the state of charge and lifetime for batteries with energy harvesting capabilities

et al. 2020

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Energy limitation is one of the major bottlenecks during the operation of many emerging applications, such as electric vehicles, water and gas meters and a number of sensors used in the context of the Internet of Things and cyberphysical systems. Energy harvesting techniques have arisen as a promising solution to minimize the energy issues found in these types of application domains. In energy harvesting systems, a critical challenge is the need to use battery models capable of accurately estimating both the input and output power of batteries. This article proposes a temperature-dependent analytical battery model capable of estimating some output quantitiesfor example, state of charge, voltage and lifetimeof batteries that use energy harvesting technologies. This model was validated by comparing its analytical results with a dataset called the Randomized Battery Usage Data Set, which is available at the data repository of the National Aeronautics and Space Administration (NASA) website. It is also presented a proof-of-concept application, demonstrating that the use of these technologies can serve as an effective means to extend the operating time of batteries, resulting in significant benefits for a number of applications. K E Y W O R D Swireless sensor network, battery modelling, energy harvesting, thermal effect

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“…Low-power devices usually operate in duty-cycle scenario [4] when run and sleep modes are changing in regular or adaptive intervals [5]. There are two possible approaches to obtain a power reduction.…”

Section: Introductionmentioning

confidence: 99%

A Hardware Approach of a Low-Power IoT Communication Interface by NXP FlexIO Module

Chrastecky¹,

Konecny²,

Stankuš³

et al. 2019

ELEKTRON ELEKTROTECH

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This article describes implementation possibilities of specialized microcontroller peripherals, as hardware solution for Internet of Things (IoT) low-power communication, interfaces. In this contribution, authors use the NXP FlexIO periphery. Meanwhile, RFC1662 is used as a reference communication standard. Implementation of RFC1662 is performed by software and hardware approaches. The total power consumption is measured during experiments. In the result section, authors evaluate a time-consumption trade-off between the software approach running in Central Processing Unit (CPU) and hardware implementation using NXP FlexIO periphery. The results confirm that the hardware-based approach is effective in terms of power consumption. This method is applicable in IoT embedded devices.

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Intelligent Energy Management for Environmental Monitoring Systems

Cited by 19 publications

References 57 publications

Powering Batteryless Embedded Platforms by Piezoelectric Transducers: A Pilot Study

Powering Batteryless Embedded Platforms by Piezoelectric Transducers: A Pilot Study

An analytical model to estimate the state of charge and lifetime for batteries with energy harvesting capabilities

A Hardware Approach of a Low-Power IoT Communication Interface by NXP FlexIO Module

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