Failure Mode Mechanism and Effect Analysis of High Voltage DC Arcs in Electric Vehicle Cable

Liu, Yibo; Swingler, Jonathan; Flynn, David

doi:10.1109/acpee51499.2021.9437106

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…It is a systematic approach used to identify potential failure mechanisms and models for all possible failure modes and to prioritize these mechanisms. Its effectiveness has been proven in various industrial applications, such as lithium-ion batteries [58,59], printed circuit boards (PCBs) used in the automotive industry [60], the redundant architecture of temperature sensors used in oil and gas applications [61], the evaluation of medical devices [62], LED backlight systems used in LCD TVs [63], high-voltage DC arcs in electric vehicle cables [64], single-board computers [65], and prognostics and health management (PHM) [66,67]. This technique is a valuable tool that can be explored and investigated for analyzing systems, including solar PV systems.…”

Section: Selection Of Ram Analysis Approachmentioning

confidence: 99%

A Reliability and Risk Assessment of Solar Photovoltaic Panels Using a Failure Mode and Effects Analysis Approach: A Case Study

Patil,

Khalkar,

Al-Dahidi

et al. 2024

Sustainability

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Solar photovoltaic (PV) systems are becoming increasingly popular because they offer a sustainable and cost-effective solution for generating electricity. PV panels are the most critical components of PV systems as they convert solar energy into electric energy. Therefore, analyzing their reliability, risk, safety, and degradation is crucial to ensuring continuous electricity generation based on its intended capacity. This paper develops a failure mode and effects analysis (FMEA) methodology to assess the reliability of and risk associated with polycrystalline PV panels. Generalized severity, occurrence, and detection rating criteria are developed that can be used to analyze various solar PV systems as they are or with few modifications. The analysis is based on various data sources, including field failures, literature reviews, testing, and expert evaluations. Generalized severity, occurrence, and detection rating tables are developed and applied to solar panels to estimate the risk priority number (RPN) and the overall risk value. The results show that the encapsulant, junction box, and failures due to external events are the most critical components from both the RPN and risk perspectives. Delamination and soiling are the panels’ most critical FMs, with RPN values of 224 and 140, respectively, contributing 16.2% to the total RPN. Further, moderately critical FMs are also identified which contribute 56.3% to the RPN. The encapsulant is the most critical component, with RPN and risk values of 940 (40.30%) and 145 (23.40%), respectively. This work crucially contributes to sustainable energy practices by enhancing the reliability of solar PV systems, thus reducing potential operational inefficiencies. Additionally, recommendations are provided to enhance system reliability and minimize the likelihood and severity of consequences.

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Section: Selection Of Ram Analysis Approachmentioning

confidence: 99%

A Reliability and Risk Assessment of Solar Photovoltaic Panels Using a Failure Mode and Effects Analysis Approach: A Case Study

Patil,

Khalkar,

Al-Dahidi

et al. 2024

Sustainability

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“…This could prompt companies to consider augmenting their electric fleet and charging infrastructure to compensate for prolonged charging times and the increased number of vehicles. Additionally, introducing high-voltage equipment, unfamiliar to most employees, raises the specter of technical issues such as arcing and explosions stemming from inadequate maintenance or mishandling of batteries [88][89][90].…”

Section: Technical Challengesmentioning

confidence: 99%

Renewable Energy and Decarbonization in the Canadian Mining Industry: Opportunities and Challenges

Issa,

Ilinca,

Rousse

et al. 2023

Energies

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Mining in Canada stands as one of the most energy-intensive sectors, playing a pivotal role as a significant provider of copper, nickel, and cobalt to the international market. Anticipated growth in the global population, coupled with the transition of several low-income economies to middle-income status, is poised to escalate the demand for essential raw materials. This surge in demand is expected to drive an increase in energy consumption across various stages of the Canadian mining industry, encompassing exploration, extraction, processing, and refining. Due to their geographical constraints, most Canadian mining operations rely heavily on fossil fuels such as diesel and heavy fuel. Considering the global shift towards decarbonization and the pursuit of net-zero emission targets, exploring avenues for adopting electrification solutions and integrating renewable energy technologies, particularly in sizable surface mines, is imperative. Within this context, our study delves into the challenges and prospects associated with infusing renewable energy technologies and embracing electrification alternatives within Canadian mining practices. This exploration encompasses a comprehensive review of pertinent literature comprising academic research, technical analyses, and data disseminated by international entities and experts. The findings underscore a prevalent trend wherein Canadian mining enterprises are prominently investing in robust electric truck fleets, particularly for heavy-duty operations. Additionally, incorporating renewable energy solutions is notably prevalent in remote sites with extended operational lifespans. However, an in-depth examination reveals that the most formidable hurdles encompass successfully integrating renewable energy sources and battery electric vehicles. Financial constraints, logistical intricacies, and the imperative to enhance research and development competencies emerge as pivotal challenges that demand strategic addressing.

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A Method for DC Arc Fault Detection, Classification and Mitigation in Electric Vehicles

Liu

Swingler

Flynn

2021

2021 3rd Global Power, Energy and Communication Conference (GPECOM)

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Failure Mode Mechanism and Effect Analysis of High Voltage DC Arcs in Electric Vehicle Cable

Cited by 5 publications

References 25 publications

A Reliability and Risk Assessment of Solar Photovoltaic Panels Using a Failure Mode and Effects Analysis Approach: A Case Study

A Reliability and Risk Assessment of Solar Photovoltaic Panels Using a Failure Mode and Effects Analysis Approach: A Case Study

Renewable Energy and Decarbonization in the Canadian Mining Industry: Opportunities and Challenges

A Method for DC Arc Fault Detection, Classification and Mitigation in Electric Vehicles

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