Mathematical modelling of energy harvesting in piezo embedded electric vehicle tyres together with self-health assessment of suspension system

This paper proposes embedding piezoelectric material inside the electric vehicle (EV) tyres. The paper focuses on two aspects: one pertains to the mathematical modelling of energy harvesting through piezoelectric energy conversion inside the tyre, and the other to collecting and processing the mecha...

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Published in:International journal of electric and hybrid vehicles 2018, Vol.10 (2), p.161-176
Main Authors: Yaqub, Raziq, Heidary, Kaveh
Format: Article
Language:English
Subjects:
Anxiety
Automobile industry
Automotive parts
Batteries
Charge materials
Data processing
Diagnostic systems
Electric vehicles
Embedded systems
Embedding
Energy
Energy conversion
Energy harvesting
Health
Information processing
Mathematical analysis
Mathematical models
Mechanical stimuli
Piezoelectricity
Strain
Suspension systems
Tires
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container_title International journal of electric and hybrid vehicles
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creator Yaqub, Raziq
Heidary, Kaveh
description This paper proposes embedding piezoelectric material inside the electric vehicle (EV) tyres. The paper focuses on two aspects: one pertains to the mathematical modelling of energy harvesting through piezoelectric energy conversion inside the tyre, and the other to collecting and processing the mechanical stress data obtained from the embedded piezoelectric material. The electrical energy generated due to mechanical strain of the piezoelectric material is utilised to charge the battery. Concurrently the material stress-strain data generated by, and collected from the piezoelectric material, is used to extract valuable real-time information. This information is used for condition based maintenance of tyres and suspension system that includes remaining useful life of tyres, uneven or excessive tyre wear, need for wheel balancing, suspension system health assessment, and wheel alignment. Thus, the proposed system will not only reduce the driving range anxiety, it will also enhance vehicle health and safety and lead to concomitant savings.
doi_str_mv 10.1504/IJEHV.2018.095716
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source Inderscience Journals
subjects Anxiety
Automobile industry
Automotive parts
Batteries
Charge materials
Data processing
Diagnostic systems
Electric vehicles
Embedded systems
Embedding
Energy
Energy conversion
Energy harvesting
Health
Information processing
Mathematical analysis
Mathematical models
Mechanical stimuli
Piezoelectricity
Strain
Suspension systems
Tires
title Mathematical modelling of energy harvesting in piezo embedded electric vehicle tyres together with self-health assessment of suspension system
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