Flexible PVDF nanogenerator-driven motion sensors for human body motion energy tracking and monitoring

Zhao, Jincheng; Li, Fujiang; Wang, Zhenling; Dong, Peng; Xia, Guoting; Wang, Kai

doi:10.1007/s10854-021-06027-w

Cited by 74 publications

(40 citation statements)

References 55 publications

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“…To solve the problems of growing exhaustion of fossil energy (petroleum, natural gas, and coal) and the resulting environmental issues, many energy conversion and storage systems, such as lithium-ion batteries (LIBs), nanogenerators, and supercapacitors, have been extensively investigated [1][2][3][4][5][6][7][8][9][10][11][12][13]. LIBs have attracted much attention owing to their low self-discharge, no memory effect, high working voltage, and high energy density [14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

High Cycle Stability of Hybridized Co(OH)2 Nanomaterial Structures Synthesized by the Water Bath Method as Anodes for Lithium-Ion Batteries

et al. 2022

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Cobalt oxides have been intensely explored as anodes of lithium-ion batteries to resolve the intrinsic disadvantages of low electrical conductivity and volume change. However, as a precursor of preparing cobalt oxides, Co(OH)2 has rarely been investigated as the anode material of lithium-ion batteries, perhaps because of the complexity of hydroxides. Hybridized Co(OH)2 nanomaterial structures were synthesized by the water bath method and exhibited high electrochemical performance. The initial discharge and charge capacities were 1703.2 and 1262.9 mAh/g at 200 mA/g, respectively. The reversible capacity was 1050 mAh/g after 150 cycles. The reversible capability was 1015 mAh/g at 800 mA/g and increased to 1630 mAh/g when driven back to 100 mA/g. The electrochemical reaction kinetics study shows that the lithium-ion diffusion-controlled contribution is dominant in the energy storage mechanism. The superior electrochemical performance could result from the water bath method and the hybridization of nanosheets and nanoparticles structures. These hybridized Co(OH)2 nanomaterial structures with high electrochemical performance are promising anodes for lithium-ion batteries.

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Section: Introductionmentioning

confidence: 99%

High Cycle Stability of Hybridized Co(OH)2 Nanomaterial Structures Synthesized by the Water Bath Method as Anodes for Lithium-Ion Batteries

et al. 2022

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“…[54][55][56][57][58] Deep learning methods based on neural networks have recently attracted the attention of researchers in the field of battery state estimation. They have been introduced into the SOC estimation of lithium-ion batteries, [59][60][61][62][63][64] because of the ability of these methods to automatically extract features and their good generalization performance. 65…”

Section: Deep Learning Methodsmentioning

confidence: 99%

A comprehensive review on the state of charge estimation for lithium‐ion battery based on neural network

Cui

Wang

et al. 2021

Intl J of Energy Research

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210

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Implementing carbon neutrality and emission peak policies requires a highlevel electric vehicle field. Lithium-ion batteries have been considered an essential component of electric vehicle power batteries. Effective state of charge (SOC) estimation for lithium-ion batteries is a critical problem that needs to be addressed at present. With the feature extraction and fitting capability, the neural network can achieve accurate SOC estimation without considering the internal electrochemical state of the battery. This article overviews the definition of SOC and the relationship with battery aging state. Then, by examining recent literature on estimating the SOC of Lithium-ion batteries using neural network methods, the methods are classified into three categories: feed-forward neural network method, deep learning method, and hybrid method. The progress of neural network methods in SOC estimation applications is systematically reviewed, including principles, advantages, disadvantages, current status, and estimation errors. Possible recommendations for next-generation intelligent battery management systems and SOC estimation are also presented. This review's highlighted insights will inspire researchers in the battery field and point the way to developing electric vehicles.

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“…Health monitoring provides the status of an individual's physiological parameters such as blood pressure, respiration rate, lactate concentration, temperature, and pulse rate/heart rate. [1][2][3] Real-time tracking of health situations can assist in preventing, diagnosing, and treating diseases like diabetes, cardiovascular diseases, and strokes, thereby increasing the attention toward healthcare and monitoring research in recent years. [4] Specifically, the increase of the aging populace globally imposes great challenges in terms of social welfare and healthcare which lead to the high demand for efficient, durable, and cost-effective health monitoring technologies.…”

Section: Introductionmentioning

confidence: 99%

Design and Simulation of Single‐Electrode Mode Triboelectric Nanogenerator‐Based Pulse Sensor for Healthcare Applications Using COMSOL Multiphysics

Mathew

Vivekanandan

2022

Energy Tech

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The advancement in triboelectric nanogenerator technology leads to numerous advantages in various fields, especially in biomedical and healthcare applications. Theoretical modeling and simulation of sensors is the initial step for an optimized cost‐effective real‐time sensor fabrication which reduces the wastage of materials and rapid prototyping, giving an expected sensor performance. Herein, a theoretical model of single‐electrode triboelectric nanogenerator is presented which finds its application in healthcare monitoring as a wearable flexible pulse sensor to measure the wrist pulse for disease diagnosis. The device optimization in terms of structure, material and output performance is done based on the said application. A brief study of the operating principle of the sensor along with the factors affecting the output is discussed in this work. The design is conceptually investigated considering the electrostatic shield effect from the contact electrode. The output performance variation concerning the plain and micro‐structured triboelectric surface is also determined in terms of open‐circuit voltage of ≈16.95 and ≈21.63 V, respectively, and also a short‐circuit charge of ≈181.81 and ≈196.57 pC, respectively. The superior output performance even for smaller wrist pulse displacement range can serve as a significant assistance for the rational plan of the device structure.

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Flexible PVDF nanogenerator-driven motion sensors for human body motion energy tracking and monitoring

Cited by 74 publications

References 55 publications

High Cycle Stability of Hybridized Co(OH)2 Nanomaterial Structures Synthesized by the Water Bath Method as Anodes for Lithium-Ion Batteries

High Cycle Stability of Hybridized Co(OH)2 Nanomaterial Structures Synthesized by the Water Bath Method as Anodes for Lithium-Ion Batteries

A comprehensive review on the state of charge estimation for lithium‐ion battery based on neural network

Design and Simulation of Single‐Electrode Mode Triboelectric Nanogenerator‐Based Pulse Sensor for Healthcare Applications Using COMSOL Multiphysics

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