A 2.6 $\mu \text{W}$ –1.2 mW Autonomous Electromagnetic Vibration Energy Harvester Interface IC with Conduction-Angle-Controlled MPPT and up to 95% Efficiency

Leicht, Joachim; Manoli, Yiannos

doi:10.1109/jssc.2017.2702667

Cited by 33 publications

(8 citation statements)

References 47 publications

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“…Hence, several pieces of research are conducted in this field [43]. The main goal of these works is to conduct maximum electrical power to the load in all operational frequencies and load impedances [44]. Nevertheless, commercially successful energy harvesters based on magnetic induction are still relatively limited.…”

Section: Fundamentals Of Mehmentioning

confidence: 99%

Review and Analysis of Magnetic Energy Harvesters: A Case Study for Vehicular Applications

Enayati

Asef

2022

IEEE Access

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Energy harvesting (EH), as an enabling technology of energy derivation from ambient sources, has attracted much research attention in wireless sensor network (WSN) context. The magnetic energy harvester (MEH) introduces ambient energy harvesters' most promising technological development. This paper presents a review and analysis of MEH applications in WSN like vehicular systems and technologies. The successful approaches are introduced and classified based on technical characteristics and working principles. The fundamentals of their operation are discussed in detail, and the power points of each method are reviewed. To select the optimal energy harvester, in this work a case study is provided for feeding navigational sensors mounted on a rotating wheel of vehicles. Finally, the performance of the developed MEH model is evaluated and discussed for harvesting energy at the rotating wheels of a ground vehicle. To offer electromagnetic field analysis of the studied MEH, the simulations are performed in Ansys Maxwell software for further harvested power evaluation.

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Section: Fundamentals Of Mehmentioning

confidence: 99%

Review and Analysis of Magnetic Energy Harvesters: A Case Study for Vehicular Applications

Enayati

Asef

2022

IEEE Access

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“…Among these sources, vibration energy has been extensively investigated due to the abundance of vibrations in the ambient environment. For this purpose, various electromechanical transducers, such as electromagnetic [10], triboelectric [11], and piezoelectric [12] transducers, are usually utilized.…”

Section: Introductionmentioning

confidence: 99%

Dual Piezoelectric Energy Investing and Harvesting Interface for High-Voltage Input

Khan

Saif

Lee

et al. 2021

Sensors

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A novel harvesting interface for multiple piezoelectric transducers (PZTs) is proposed for high-voltage energy harvesting. Pre-biasing a PZT prior to its mechanical deformation increases its damping force, resulting in higher energy extraction. Unlike the conventional harvesters where a PZT-generated output is assumed to be continuous sinusoidal and output polarity is assumed to be alternating every cycle, PZT-generated output from human motion is expected to be random. Therefore, in the proposed approach, energy is invested to the PZT only when PZT deformation is detected. Upon the motion detection, energy stored at a storage capacitor (CSTOR) from earlier energy harvesting cycle is invested to pre-bias PZT, enhancing energy extraction. The harvested energy is transferred to back CSTOR for energy investment on the next cycle and then excess energy is transferred to the battery. In addition, partial electric charge extraction (PECE) is adapted to extract a partial amount of charges from the PZT every time its voltage approaches the process limit of 40 V. Simulations with 0.35 µm BCD process show 7.61× (with PECE only) and 8.38× (with PECE and energy investment) improvement compared to the conventional rectifier-based harvesting scheme Proposed harvesting interface successfully harvests energy from excitations with open-circuit voltages up to 100 V.

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“…Lasheen et al [22] have worked on incorporating adaptivity inobtaining MPPT using reference voltage system. Leicht et al [23] have developed an optimized model for controlling MPPT with highest degree of efficiencyconsidering harvester design of vibration energy. Adoption of swam intelligence was seen in study of Liu et al [24] for ensuring better stability on the MPPT outcomes.…”

Section: Introductionmentioning

confidence: 99%

A cost effective computational design of maximum power point tracking for photo-voltaic cell

Yoganandini¹,

Anitha²

2019

IJECE

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<p>Maximum Power Point Tracking (MPPT) is one of the essential controller operations of any Photo-Voltaic (PV) cell design. Developing an efficient MPPT system includes a significant challenge as there are various forms of uncertainty factors that results in higher degree of fluctuation in current and voltage in PV cell. After reviewing existing system, it has been found that there is no presence of any benchmarked model to ensure a better form of computational model. Hence, this paper presents a novel and very simple design of MPPT without using any form of complex design mechanism nor including any form of frequently used iterative approach. The proposed model is completely focused on developing an algorithm that takes the input of voltage (open circuit), current (short circuit), and max power in order to obtain the peak power to be extracted from the PV cells. The study outcome shows faster response time and better form of analysis of current-voltage-power for given state of PV cells.</p>

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A 2.6 $\mu \text{W}$ –1.2 mW Autonomous Electromagnetic Vibration Energy Harvester Interface IC with Conduction-Angle-Controlled MPPT and up to 95% Efficiency

Cited by 33 publications

References 47 publications

Review and Analysis of Magnetic Energy Harvesters: A Case Study for Vehicular Applications

Review and Analysis of Magnetic Energy Harvesters: A Case Study for Vehicular Applications

Dual Piezoelectric Energy Investing and Harvesting Interface for High-Voltage Input

A cost effective computational design of maximum power point tracking for photo-voltaic cell

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