Evaluating the Factors Affecting Electric Vehicles Adoption Considering the Sustainable Development Level

Electric vehicles are an important part of governments' environmental policies, and therefore understanding the factors affecting their market share is very important. So, this research is designed to investigate the factors affecting electric vehicle adoption, considering the effects of the COVID-19 pandemic and sustainable development level. Effective factors have been investigated in three categories. One is the characteristics of electric vehicles;the other is the impact of the COVID-19 pandemic on demand for these vehicles;and finally, the impact of the level of sustainable development of countries on adopting electric vehicles. Our analysis method is based on grey econometric and grey regression methods. The results show that vehicle dimensions, battery warranty conditions, battery life, and charging facilities are effective factors in the field of vehicle characteristics that can increase the adoption of electric vehicles. Also, the analysis shows that the COVID-19 pandemic has reduced the adoption of electric vehicles. Finally, we have shown that the market share of electric vehicles is higher in countries with a higher sustainable development level because of better economic, social, and cultural infrastructures.

The French automotive industry faces the challenge of the ecological transition

[...]the vehicle of the future must be considered within the broader framework of the mobility of the future, taking into account the entire value chain. Transforming our future into a sustainable future: planning for the automotive transition Didier Sepulchre de Condé, Mechanical industry The automotive industry is in turmoil, firstly because of the economic situation, with a market deeply affected by Covid, shortages of materials and components and disoriented customers;and secondly because of the structural situation, with the forced transition to electrification. The four paradoxes of the ecological transition of the European car industry Alois Kirchner, Former Director of Cabinet of the Minister for Industry The energy transition in the automotive sector is essential for achieving French and European climate objectives. [...]the actions implemented come up against four paradoxes, which must be overcome if this transition is to succeed: * the regulation on the reduction of CO2 emissions from the tank to the wheel, to the exclusion of other sources which now represent the majority of emissions from new vehicles;* the steering of vehicle traffic restrictions based on Crit'air stickers, leading to the prohibition of access to certain cities for vehicles that are more virtuous than others that are still allowed to enter;* the inability to implement policies to support the production of vehicles on European soil that are sufficiently powerful to halt the fall in associated jobs;a situation that benefits production sites that are not subject to the same environmental standards;* and the rising price of "green" vehicles, leading to a slowdown in the renewal of the fleet and the maintenance of a high level of pollution and carbon emissions.

Reputation of Electric Vehicles in the Environment of Carbon Reduction and Accelerated Digitization

The accelerated digitization of the third decade of the twenty-first century poses a challenge both for science and for practice. The study presents partial results of continuous research on online reputation management of entities operating in the environment of low-carbon economy. The aim of the study is the application of a standardized methodology for calculating the Total level of Online Reputation (TOR) to determine the market position of selected Electric Vehicles (EVs) compared to the market position of conventional Vehicles with Internal Combustion Engines (ICEVs) in the online environment. The research sample consists of the ten best-selling Vehicles and the ten best-selling Electric Vehicles in the world by sales in the year 2021. Based on the measurement results and the subsequent analysis of the context, it can be concluded that the EV market shows the parameters of a developing market not only from the point of view of sales but also in terms of the overall level of Online Reputation as such. At the same time, it is possible to point out a high geographical specificity and significant disproportionality of the EV market compared to ICEVs. From the overall market perspective, the future of cars in the EV category is still unclear, as building trust in low-carbon products is limited by historical tradition. The main representatives of the EV industry thus represent the first forays of the onset of the low-carbon era in individual transport. The description of the issue will require the monitoring of status indicators over time. The results of the presented study can thus serve as a baseline and methodological framework for further research of the adoption of low-carbon policies in common practice.

Data-Driven Analysis and Optimization for Urban Energy Systems Equitable Resilience

Electric vehicles (EVs) can be leveraged as power resources to support the grid operation in challenging scenarios, e.g., natural disasters or health crises such as the COVID-19 pandemic. This paper aims to enhance equity of power resilience in urban energy systems by means of strategic allocation of EV charging infrastructure. We first use data-driven approaches to infer the relationships between communities' power resilience equity and available EV charging infrastructure as well as other prominent social-demographic factors. This inference leads to the development of a machine learning model for power resilience inequity prediction. We further develop an optimization frame-work that jointly considers equitable resiliency and resource utilization to guide the optimized EV charging infrastructure allocation across the city. Case studies demonstrate the capability of the devised approach in enhancing power resilience equity in marginalized communities. © 2023 IEEE.

Assessing progress and equity in the distribution of electric vehicle rebates using appropriate comparisons

To meet aggressive transportation-electrification goals, electric-vehicle (EV) sales must expand deeper into mainstream markets. To address equity concerns, EV sales must go beyond the mainstream to increase access to EV benefits. To support needed expansion in sales and equity, this research examined the characteristics of California consumers that claimed the statewide rebate for EVs purchased/leased in 2017–2020. It weighted n = 32,524 survey responses to represent N = 193,167 rebate recipients and focused on 2020 adoption, trends over time, and differences between consumers of battery and plug-in hybrid EVs. Importantly, incentive-recipient characteristics were compared using Market-Majority Metrics to those of California new-vehicle buyers as a more appropriate baseline. Results raise the possibility that findings about the equity of EV-rebate-recipient incomes based upon comparisons to Census data could largely and more simply be findings about new-car buying, rather than particular to EV-incentive recipients. Rebate-recipient incomes continued to progress toward the mainstream despite the dominance of Tesla consumers and COVID. The distribution of rebate funding by income is now roughly comparable to new-vehicle buyers. Indeed, fewer rebated PHEV consumers (52%) had household incomes greater than $100,000 than even new-vehicle buyers (56%). Except for age, PHEV consumers are more similar to typical vehicle buyers than BEV consumers are. The characteristics most distinguishing of EV consumers are now home ownership and male sex/gender identification. Market-Majority Metric "heat map tables” are developed as an intuitive but quantitative tool to highlight the length of the road ahead EV markets must travel toward the mainstream and beyond to priority populations.

An Electric Vehicle Assisted Charging Mechanism for Unmanned Aerial Vehicles

The global greenhouse effect and air pollution problems have been deteriorating in recent years. The power generation in the future is expected to shift from fossil fuels to renewables, and many countries have also announced the ban on the sale of vehicles powered by fossil fuels in the next few decades, to effectively alleviate the global greenhouse effect and air pollution problems. In addition to electric vehicles (EVs) that will replace traditional fuel vehicles as the main ground transportation vehicles in the future, unmanned aerial vehicles (UAVs) have also gradually and more recently been widely used for military and civilian purposes. The recent literature estimated that UAVs will become the major means of transport for goods delivery services before 2040, and the development of passenger UAVs will also extend the traditional human ground transportation to low-altitude airspace transportation. In recent years, the literature has proposed the use of renewable power supply, battery swapping, and charging stations to refill the battery of UAVs. However, the uncertainty of renewable power generation cannot guarantee the stable power supply of UAVs. It may even be very possible that a large number of UAVs need to be charged during the same period, causing congestion in charging stations or battery swapping facilities and delaying the arranged schedules of UAVs. Although studies have proposed the method of that employing moving EVs along with wireless charging technology in order to provide electricity to UAVs with urgent needs, the charging schemes are still oversimplified and have many restrictions. In addition, different charging options should be provided to fit the individual need of each UAV. In view of this, this work attempts to meet the mission characteristics and needs of various UAVs by providing an adaptive flight path and charging plan attached to individual UAVs, as well as reducing the power load of the renewable power generation during the peak period. We ran a series of simulations for the proposed flight path and charging mechanism to evaluate its performance. The simulation results revealed that the solutions proposed in this work can be used by UAV operators to fit the needs of each individual UAV.

Various charging Methods in Electric Vehicle Application: A Review

During the covid pandemic, air quality has improved due to prolonged lockdown conditions. Hence according to the international energy agency, about 22% of environmental pollution is contributed by the transportation sector. Electric vehicles help in reducing the contribution towards carbon emission and help in mitigating the fossil fuel crisis and also promotes sustainable transportation. To enhance the growth of electric vehicle, charging infrastructure and range anxiety issues in the long drive has to be resolved. This paper reviews the various charging methods available for an electric vehicle. Some charging methods are wired and wireless charging, solar-powered, battery-swapping, vehicle-to-grid and vehicle-to-vehicle charging. A comparative study of these methods is tabulated. Based on the limitation of each method the optimum charging method for a vehicle is adapted for a particular application. © 2023 IEEE.

Impact of autonomous solutions on earthmoving electrification using machine learning: case study

PurposeThis research aims to investigate the adoption of future technologies in earthmoving applications. The increased development in automated driving systems (ADS) has opened up significant opportunities to revolutionize mobility and to set the path for technologies, such as electrification. The research also aims to explore the impact of automation on electromobility in earthmoving applications.Design/methodology/approachThis paper adopts a multi-objective simulation-based optimization approach using machine learning in earthmoving applications.FindingsThis study concludes that ADS is "conditionally” an enabler for electrification. The study highlights and explains how local and global factors affect this conclusion. In addition to that, the research explores the impact of the equipment size on the integration of future mobility technologies. The shift from "elephant to ants” in the fleet selection resulted in improved feasibility from the integration of ADS in electrification.Originality/valueThis research provides fundamental considerations in the assessment of the impact of autonomous driving solutions on electromobility in the construction industry.

Selection of a Photovoltaic Carport Power for an Electric Vehicle

The increasing number of electric vehicles is forcing new solutions in the field of charging infrastructure. One such solution is photovoltaic carports, which have a double task. Firstly, they enable the generation of electricity to charge vehicles, and secondly, they protect the vehicle against the excessive heating of its interior. This article presents the functioning of a small carport for charging an electric vehicle. Attention is drawn to the problems of selecting the peak power of the photovoltaic system for charging an electric vehicle. An economic and energy analysis is carried out for the effective use of photovoltaic carports. In this article, we present the use of the Metalog family of distributions to predict the production of electricity by a photovoltaic carport with the accuracy of probability distribution.

Design of Auto-Tuning Nonlinear PID Tracking Speed Control for Electric Vehicle with Uncertainty Consideration

This study presents a new auto-tuning nonlinear PID controller for a nonlinear electric vehicle (EV) model. The purpose of the proposed control was to achieve two aims. The first aim was to enhance the dynamic performance of the EV regarding internal and external disturbances. The second aim was to minimize the power consumption of the EV. To ensure that these aims were achieved, two famous controllers were implemented. The first was the PID controller based on the COVID-19 optimization. The second was the nonlinear PID (NPID) optimized controller, also using the COVID-19 optimization. Several driving cycles were executed to compare their dynamic performance and the power consumption. The results showed that the auto-tuning NPID had a smooth dynamic response, with a minimum rise and settling time compared to other control techniques (PID and NPID controllers). Moreover, it achieved low continuous power consumption throughout the driving cycles. © 2023 by the author.

Shared Mobility Opportunities and Their Computational Challenges for Improving Health-Related Quality of Life

Shared mobility has emerged in urban spaces as an alternative to owning and maintaining a vehicle, by allowing flexible and short-term mobility services at low costs. These mobility options act as promising sources of trips benefiting people in vulnerable groups and enabling them to access essential services such as healthcare and providing transport during emergency evacuations. Shared mobility services can also make the cities more sustainable and healthy for all inhabitants by reducing the number of circulating vehicles. Fewer vehicles in the urban traffic makes the air cleaner and the environment less noisy, reducing risks of respiratory, and cardiovascular diseases and improving the people's health-related quality of life. However, managing shared mobility services intensifies transport challenges. Amid these challenges are reducing operational costs and diminishing health hazards such as the ones posed by COVID-19. © 2021 Elsevier Ltd. All rights reserved

The relationship between ESG and firm value. Case study of the automotive industry

The automotive industry is set to face a series of fundamental changes in the following years. Along with the transition to electric vehicles or production of autonomous cars, companies are also expected to better address sustainability issues, usually divided into environmental, social and governance (ESG) aspects. The present paper aims to explore the relationship between non-financial sustainability, measured by ESG scores, and firm value in the automotive industry, where empirical evidence is scarce. A structural equation modelling (SEM) approach has been taken on a novel dataset of 131 listed companies worldwide across 6 years. Our results indicate a mixed influence of the E, S, G scores on firm value in the analyzed period, with some inconclusive effects, especially from the social score. The findings are beneficial for investors, fund managers and automotive companies' executives. Further research directions are also provided.

China's auto industry: regimes of production and industrial policy in the age of electric cars

This article discusses China's industrial and labour policy for the automotive industry facing the transition to the era of new energy vehicles. A conceptual framework on the regimes of production is employed to analyse the present transformation of industry structures in production models and labour markets. The growth of private-capitalist regimes of high-performance, low wages, and high profit incentives for workers is identified, which can be described as the 'Foxconnisation' of the industry, and it is at the expense of the corporate-bureaucratic regimes prevalent among the leading Sino-foreign joint ventures. As production networks become vertically disintegrated, some non-traditional industrial players are highlighted in the discussion of some recent developments in the industry during the ongoing COVID-19 pandemic. The profound transformation in the regimes of production brought about social contradictions related to the production process, and new challenges and implications for workplace policies. The empirical study of this article confirms the necessity of trade union strategies inside China from an international perspective in order to ensure social standards and a more sustainable green transformation of the industry.

Identifying vehicles as green cars using Q methodology: Viewpoints of Korean transport policy experts

The recent trend of transitioning from cars with internal combustion engines to green cars has accelerated amidst growing concerns of a climate crisis and the COVID-19 pandemic. South Korea is a particularly good test bed for exploring green mobility alternatives and setting priorities for green car policies, owing to its fast-growing green car market and its considerable share in the worldwide purchases of fuel cell electric vehicles. Accordingly, this study explores the Korean conceptualization of green cars and the prioritization of different aspects of future green car policy using qualitative Q methodology and additional interviews. A total of 31 transport policy experts participated in our survey, resulting in three distinct perspectives: a hybrid vehicle supporter with comparative pragmatism, an electric vehicle supporter from multiple aspects, and a radical ecologist searching for new alternatives. Based on these expert insights, we determine the most appropriate green car type and provide important recommendations for future green car policy. © 2023 Taylor & Francis Group, LLC.

Optimizing Energy Consumption in Smart Cities' Mobility: Electric Vehicles, Algorithms, and Collaborative Economy

Mobility and transportation activities in smart cities require an increasing amount of energy. With the frequent energy crises arising worldwide and the need for a more sustainable and environmental friendly economy, optimizing energy consumption in these growing activities becomes a must. This work reviews the latest works in this matter and discusses several challenges that emerge from the aforementioned social and industrial demands. The paper analyzes how collaborative concepts and the increasing use of electric vehicles can contribute to reduce energy consumption practices, as well as intelligent x-heuristic algorithms that can be employed to achieve this fundamental goal. In addition, the paper analyzes computational results from previous works on mobility and transportation in smart cities applying x-heuristics algorithms. Finally, a novel computational experiment, involving a ridesharing example, is carried out to illustrate the benefits that can be obtained by employing these algorithms.

Review of the 23rd International Colloquium Tribology – 25-27 January 2022

The 23rd International Colloquium Tribology in January 2022 was held for the first time as an online conference only, with about 300 participants. The organising team, speakers and participants therefore made the best of this traditional event in Germany in view of the Covid-19 pandemic, even though the "online conference is not a substitute for a conference on site”, as one participant stated aptly. In almost 140 talks, 8 of which were plenary talks, new findings were reported on the topics of lubricants and additives, measuring techniques, digitalisation, coatings and surfaces, transport and industry, and sustainability. Several presentations were dedicated to the EU project "i-Tribomat”, which will soon be launched as "The European Tribology Centre” that offers services for the tribological characterisation of materials and lubricants.

Electric Vehicle and Electrical Engineering Teaching Experience During Pandemic Disease

During the three years of Pandemic Disease, the world of academic teaching has had a substantial change. The usual in-person or face-to-face teaching has been transformed into online teaching. For electrical engineering, the instruction usually includes heavyweight experiments or practical tests;therefore, online teaching faces challenges. A recent electric vehicle course has been proposed in the Master level and the challenge of the course is reported in this paper. The experience that has been encountered is discussed and the proposed method of teaching is described in the paper. Useful experience and learning outcomes are listed. Data are collected before and after the Covid-19 teaching. It is found that online education did not deteriorate the learning outcome. © 2022 IEEE.

'2022 – the first year of the EV era in Japan?' The COVID crisis and its impact on the Japanese automobile industry

Has the COVID pandemic just been another crisis that had hit the Japanese automobile industry over the past three decades or has it been a watershed moment with respect to the shift to electric cars (EVs)? After presenting data regarding the development of Japanese industry and the evolution of policies for ecological friendly cars, the paper argues that, given that all major automobile markets and most foreign competitors are shifting towards battery electric vehicles (BEVs), the Japanese automobile producers have no choice other than abandoning conventional combustion engines including hybrid technologies and changing their strategies as well to BEVs. They do so, not because of government carbon neutral policies or out of conviction of the ecological superiority of BEVs, but just out of pure pragmatism in order to maintain their international competitiveness regarding products and production. COVID did not trigger but accelerated these developments.

Charging after Lockdown: The Aftermath of COVID-19 Policies on Electric Vehicle Charging Behaviour in The Netherlands

During the COVID-19—related lockdowns (2020–2022), mobility patterns and charging needs were substantially affected. Policies such as work from home, lockdowns, and curfews reduced traffic and commuting significantly. This global pandemic may have also substantially changed mobility patterns on the long term and therefore the need for electric vehicle charging infrastructure. This paper analyzes changes in electric charging in the Netherlands for different user groups during different phases of the COVID-19 lockdown to assess the effects on EV charging needs. Charging needs dropped significantly during this period, which also changed the distribution of the load on the electricity grid throughout the day. Curfews affected the start times of charging sessions during peak hours of grid consumption. Infrastructure dedicated to commuters was used less intensively, and the charging needs of professional taxi drivers were drastically reduced during lockdown periods. These trends were partially observed during a post–lockdown measuring period of roughly 8 months, indicating a longer shift in mobility and charging patterns. © 2023 by the authors.

Strategies to save energy in the context of the energy crisis: a review.

New technologies, systems, societal organization and policies for energy saving are urgently needed in the context of accelerated climate change, the Ukraine conflict and the past coronavirus disease 2019 pandemic. For instance, concerns about market and policy responses that could lead to new lock-ins, such as investing in liquefied natural gas infrastructure and using all available fossil fuels to compensate for Russian gas supply cuts, may hinder decarbonization efforts. Here we review energy-saving solutions with a focus on the actual energy crisis, green alternatives to fossil fuel heating, energy saving in buildings and transportation, artificial intelligence for sustainable energy, and implications for the environment and society. Green alternatives include biomass boilers and stoves, hybrid heat pumps, geothermal heating, solar thermal systems, solar photovoltaics systems into electric boilers, compressed natural gas and hydrogen. We also detail case studies in Germany which is planning a 100% renewable energy switch by 2050 and developing the storage of compressed air in China, with emphasis on technical and economic aspects. The global energy consumption in 2020 was 30.01% for the industry, 26.18% for transport, and 22.08% for residential sectors. 10-40% of energy consumption can be reduced using renewable energy sources, passive design strategies, smart grid analytics, energy-efficient building systems, and intelligent energy monitoring. Electric vehicles offer the highest cost-per-kilometer reduction of 75% and the lowest energy loss of 33%, yet battery-related issues, cost, and weight are challenging. 5-30% of energy can be saved using automated and networked vehicles. Artificial intelligence shows a huge potential in energy saving by improving weather forecasting and machine maintenance and enabling connectivity across homes, workplaces, and transportation. For instance, 18.97-42.60% of energy consumption can be reduced in buildings through deep neural networking. In the electricity sector, artificial intelligence can automate power generation, distribution, and transmission operations, balance the grid without human intervention, enable lightning-speed trading and arbitrage decisions at scale, and eliminate the need for manual adjustments by end-users.