Market Share Of Electric Vehicles Research Articles

How does local context matter? Assessing the heterogeneous impact of electric vehicle incentive policies in China

This study reassesses the effectiveness of electric vehicle (EV) incentive policies in China and explores potential disparities in policy impact across different local contexts. Initially, employing panel data analysis, it evaluates policy effectiveness using data from 80 Chinese pilot cities spanning 2010 to 2022. Subsequently, cities are stratified based on varying income levels, traffic conditions, population density, and administrative hierarchy to facilitate an in-depth examination of the heterogeneous impacts of EV policies. Additionally, the Difference-in-Differences (DID) estimation method is employed to scrutinize the dynamic effects of these policies over time, enhancing the credibility of the panel model results. The findings reveal that purchase subsidies, parking benefits, driving privileges, and charging infrastructure have significant positive impacts on EV market share. Specifically, financial incentives are more effective in low-income, low-traffic, low-density cities, as well as in provincial capital cities while driving privileges are more suitable for high-income, high-traffic, and high-density areas. This study also finds that usage-phase policies increasingly drive EV adoption over time, offsetting the negative impact of subsidy reductions. The results of this study hold substantial implications for policymakers, providing insights to design context-based EV policies tailored to specific local conditions.

Energy consumption prediction strategy for electric vehicle based on LSTM-transformer framework

As the market share of electric vehicles (EVs) continues to grow, driving range capability has emerged as a primary concern for drivers, car manufacturers, and policymakers. Accurate real-time energy consumption prediction is essential in mitigating range anxiety and fostering the adoption of EVs. Consequently, an EV energy consumption prediction framework that comprehensively considers vehicle and environmental factors, with special attention to individual driving styles and driving conditions, constructed based on long short-term memory (LSTM) and Transformer models is proposed. This framework addresses the issue of long-term dependencies and captures characteristics of time-series data with increased efficiency. Upon rigorous evaluation, the model achieved the mean absolute percentage error (MAPE) of 4.63 % for state of charge (SOC) of EV's battery in experimental dataset, outperforming LSTM and multivariate regression (MLR). The ablation experiment shows that the MAPE of the model is reduced by 18.47 % and 15.27 % respectively after considering the individual driving style of drivers and the driving conditions of vehicles for both two types of vehicles. Based on this framework, a long-distance EV energy consumption prediction strategy based on short-distance is proposed, with a MAPE of 6.7 % when SOC value is reduced from 90 to 40 in the selected dataset.

An Agent-Based Modeling Approach for the Diffusion Analysis of Electric Vehicles With Two-Stage Purchase Choice Modeling

Abstract Diffusion research of innovative technologies is crucial for new product positioning and strategic planning in product design. As a versatile system simulation method, agent-based modeling (ABM) has been used in many previous studies on the diffusion analysis of electric vehicles (EVs). In these simulations, modeling consumers' purchase decisions is a significant step. Previous studies often adopt simple rule-based decision criteria in this step, while an accurate purchase decision model can contribute to a more reasonable diffusion analysis of EVs. To fill this gap, this brief presents an agent-based modeling approach for the diffusion analysis of electric vehicles with two-stage choice modeling. The core idea is to separate consumers' decision-making process for purchasing cars into two stages. Consumers first form a small choice set from the whole auto market. Then, they make the final choice from the choice set built in the first stage. In addition, the word-of-mouth (WOM) effect and consumers' social networks are also considered in the ABM, which can further improve the accuracy of the diffusion analysis. A case study using data collected from Shanghai, China, is presented to demonstrate the proposed approach. Our approach outperforms other ablation models as well as traditional statistical models in the prediction accuracy of EV's market share. The influence of factors such as government policy and technological improvement on the diffusion of EVs is also discussed. These insights can assist automakers in improving their product design and enhancing their market competitiveness.

Driving Toward a Green Future: A System Dynamics Modeling of Electric Vehicle Market Share in Taiwan

Taiwan has gradually increased its electric vehicle (EV) market share over the past few years. The increasing availability of affordable EV models has also contributed to the rising market share of EVs in Taiwan. This study provides a system dynamics model for evaluating the impact of various factors on the electric vehicle market share in Taiwan. The model incorporates key variables such as consumer preferences, financial acceptability, charging infrastructure and accessibility, EV performance, and customer acceptance to simulate the dynamic behavior of the EV market. Moreover, the model utilizes historical data and the government's target plan to calibrate and validate a model that accurately captures the current state of Taiwan's electric vehicle (EV) market share. Results indicate that charging stations and financial issues impact EV adoption significantly. Overall, this study demonstrates the usefulness of system dynamics modeling in evaluating policy interventions and identifying critical drivers for promoting the transition to a greener transportation system.

Automated Disassembly of Battery Systems to Battery Modules

The increasing market share of electric vehicles leads to a growing demand for raw materials such as lithium and cobalt, where the supply situation is fraught with risk. Product-specific challenges regarding high voltage, product state/variance, and labor shortage require flexible automated non-/ semi-/ destructive disassembly. However, there is a need to implement industrial, scalable automation approaches to deal with this problem. This paper addresses the development of a flexible robotic cell for the fully automated disassembly of battery modules from battery systems. The paper presents all required tools and processes for battery diagnoses, machine learning-based object recognition, loosening and removing fasteners, opening sealings, gripping components, separating cables and plugs, and removing the battery modules. Based on this, a sorted disposal/recycling of the material can be realized. Finally, the holistic robot cell, including a safety concept, is described using the example of an actual disassembly process.

Investigating the Impact of New Energy Policy on the Market for New Energy Vehicles

As global concerns about environmental sustainability continue to rise, electric vehicles (EVs) are gradually becoming a significant component of the global automotive market as a clean and low-carbon transportation option. This study, through a review of relevant literature and an analysis of market data, examines the influence of new energy policies on the international market for electric vehicles. The research findings indicate that the market share of electric vehicles has steadily increased over the past few years. Government environmental policies and incentive measures have played a crucial role in promoting electric vehicles. Furthermore, ongoing technological advancements and cost reductions have also contributed to the widespread adoption of electric vehicles. However, electric vehicles face certain challenges, such as inadequate charging infrastructure and limitations in battery technology. In the future, with further technological developments and policy support, electric vehicles are poised to play a more significant role in the international market and contribute to global sustainability efforts.

Investigating the factors influencing the electric vehicle market share: A comparative study of the European Union and United States

Electric vehicles (EVs) are gaining worldwide popularity as a means to reduce greenhouse gas emissions and decrease dependence on fossil fuels. This comparative study examines the factors influencing the EV market share in the European Union (EU) and the United States (US), aiming to identify regional differences and similarities using statistical and spatial models. The study findings indicate that in the EU, ownership of charging outlets, personal income, education levels, and ages over 55 are positively correlated with the EV market share. However, population density does not support the adoption of EVs. In contrast, in the US, ownership of charging outlets is positively associated with the EV market share in the Central US, while higher personal income is strongly negatively correlated. These findings emphasize the need for tailored location-specific policies that target specific sociodemographic groups and prioritize the development of robust charging infrastructure.

Can financial subsidy increase electric vehicle (EV) penetration---evidence from a quasi-natural experiment

Electric vehicles (EVs) are considered a promising solution for reducing emissions in urban transportation and addressing energy crises. Several countries, including China, have implemented direct financial subsidies to encourage the adoption of EVs. However, there is a lack of comprehensive evaluation regarding the effectiveness of these subsidies and their interaction with non-financial incentive policies. Additionally, the design of subsidy policies can be endogenous, potentially leading to biased estimations of their effects on EV penetration. To address these issues, this study utilizes a “quasi-natural experiment" approach, taking advantage of the gradual reduction of nationwide EV subsidies by the Chinese government due to financial constraints, rather than market conditions, thus mitigating the endogeneity problem. The study collects panel data from 224 prefecture-level cities in China and employs a modified panel data fixed effects model to quantify the impact of financial subsidies on EV sales and market shares. The analysis focuses on subsidy variations during six periods. The main empirical findings are as follows: (1) 1 % increase in purchase subsidies leads to a 1.36 % increase in EV sales and a 2.31 % increase in EV market share. (2) Non-financial policies, such as parking benefits, promotional goals, and restrictions on the number of vehicles, also contribute to boosting EV sales. (3) The effects of purchase subsidies vary across cities with different socio-economic conditions. (4) Some non-financial policies are found to enhance the positive effects of subsidy policies.

Automated Battery Disassembly—Examination of the Product- and Process-Related Challenges for Automotive Traction Batteries

As the market share of electric vehicles continues to rise, the number of battery systems that are retired after their service life in the vehicle will also increase. This large growth in battery returns will also have a noticeable impact on processes such as battery disassembly. The purpose of this paper is, therefore, to examine the challenges of the battery disassembly process in relation to the required increase in the degree of automation. For this purpose, a survey of various experts along the battery value chain was conducted, and product-side hurdles, such as the wide range of variants, and process-side challenges, such as the opening of the housing cover or the removal of cables and connectors, were identified. Together with an assessment of the potential degree of automation in the context of downstream processes (reuse, repair, remanufacturing, and recycling), this results in a variety of streams for future research in the field of automated battery disassembly. The core aspect in this context is data availability consisting of product and component data as well as process-relevant parameters.

Why are consumers switching to electric vehicles? Analyzing consumers preferences for electric vehicles

Turkey is highly dependent on foreign oil supply and the number of automobiles and fuel consumption is increasing day by day. In terms of greenhouse gas emissions, road transportation is second only to electric power generation. This study studies people's readiness to transition to electric vehicles in order to enhance their environmental and social quality of life, as well as the most effective strategy to increase the market share of electric vehicles (EVs) by 2030. We polled 466 automobile owners from 76 places throughout the country to determine their preferences. The intention to transition to EVs is the dependent variable in our study, with three ordinal responses ranging from “Certainly will switch” to “Definitely will not switch”. The survey used an ordinal response logit (ORL) model with four policy scenarios. These scenarios are: abolishing the special consumption tax (SCT), providing government-backed loans, introducing an age limit for conventional vehicles, and increasing the number of EV stations. In the absence of any policy action by the government or automakers, we estimate that the market share of EVs in Turkey would be 0.1% and the potential customer base would be 1% by 2030. The abolition of special consumption tax (SCT) on EVs would boost the intention to absolutely switch and the likelihood of switching to EVs by 19.5% and 53.2%, respectively. This result shows that the tax on vehicles is the main factor influencing consumers to switch to EVs. The results of this paper suggests that other scenarios implemented by the government will also increase the market share of electric cars in Turkey.

Solar parking lot management: An IoT platform for smart charging EV fleets, using real-time data and production forecasts

The fast transition to the electrification of the energy system, combined with an exponential growth of the market share of electric vehicles, is leading to a tight interrelation between electric energy production and transportation, two prominent sectors in fossil fuels consumption and greenhouse gas emissions. Accelerating this process, the management of electric fluxes, aiming at optimizing production and demand coupling, plays a crucial role in reaching the net-zero emission target. The proposed software platform is designed to optimally manage the energy fluxes for a solar powered parking lot, serving a fleet of electric vehicles; the real-time knowledge of energy production and demand, in conjunction with forecasted power generation, allows the maximization of renewable energy self-consumption, thus reducing the exchange with the external grid. The software platform can work either in design mode, allowing the dimensioning of the various parking lot components, or in real-time mode managing instantaneously the energy balance. As a case study, it is tested on the 2019 parking lot mobility data of a research center, assuming a complete transformation of the then existing fleet of employees' cars to electric vehicles. A comparison of the resulting energy flows with those projected by an established commercial tool is performed, as well as a preliminary economic evaluation. Both consistency of the simulation results and favorable economics validate the presented smart charging algorithm and Internet of Things platform for the real-time energy management of a solar parking lot.

Decoding Customer Concerns about Embracing Electric Cars in India: Analysis of Audience Sentiments on YouTube Autovlogs

The issue of climate change presents a global challenge, with transportation contributing significantly to carbon emissions. Transitioning to electric vehicles (EVs) is a crucial solution for emission mitigation. In India, initiatives like the Faster Adoption and Manufacturing of Hybrid and Electric Vehicles (FAME II) aim to achieve a substantial market share of EVs by 2030. While the electric two-wheeler market has seen success, larger vehicle adoption faces economic and charging infrastructure challenges. This study analyses audience comments on YouTube auto vlogs to understand customer concerns about EV adoption in India. The analysis of 1598 comments reveals apprehensions regarding range, charging infrastructure, and battery life. Negative sentiments encompass high costs, battery reliability, resale value, and limited service centres, while positive sentiments express interest in EVs for their environmental benefits, cost-efficiency, advanced technology, and government incentives. The research highlights consumer scepticism alongside an optimistic group seeing EVs as the future of the automotive industry in India.

Scope of electric vehicles and the automobile industry in Indian perspective

The fast changes in the market price of crude oil are a direct outcome of the fundamental concept of economics known as the “Law of Demand,” which states that as globalization progresses, the demand for oil-based energy rises. Because of the wild swings in crude oil prices and demand, governments and policymakers are being pushed to explore new options, such as the use of environmentally friendly technology. The future of business and the marketplace seems to be green alternatives. Large corporations are increasingly allocating resources to research and development (R&D) to keep up with the competition, with a lot of attention being paid to green technology. With the objective of becoming a major manufacturer of electric vehicles (EVs) for the Indian and worldwide markets, India, a rising country, is ready to dive headfirst into this new creative sector. This article’s goal is to investigate the forecasted interest in EVs, the EV market share, and the EVs’ and related technologies’ contribution to international commerce.

Neighborhood-scale air quality, public health, and equity implications of multi-modal vehicle electrification

Electric vehicles (EVs) constitute just a fraction of the current U.S. transportation fleet; however, EV market share is surging. EV adoption reduces on-road transportation greenhouse gas emissions by decoupling transportation services from petroleum, but impacts on air quality and public health depend on the nature and location of vehicle usage and electricity generation. Here, we use a regulatory-grade chemical transport model and a vehicle-to-electricity generation unit electricity assignment algorithm to characterize neighborhood-scale (∼1 km) air quality and public health benefits and tradeoffs associated with a multi-modal EV transition. We focus on a Chicago-centric regional domain wherein 30% of the on-road transportation fleet is instantaneously electrified and changes in on-road, refueling, and power plant emissions are considered. We find decreases in annual population-weighted domain mean NO2 (−11.83%) and PM2.5 (−2.46%) with concentration reductions of up to −5.1 ppb and −0.98 µg m−3 in urban cores. Conversely, annual population-weighted domain mean maximum daily 8 h average ozone (MDA8O3) concentrations increase +0.64%, with notable intra-urban changes of up to +2.3 ppb. Despite mixed pollutant concentration outcomes, we find overall positive public health outcomes, largely driven by NO2 concentration reductions that result in outsized mortality rate reductions for people of color, particularly for the Black populations within our domain.

Strategic Innovation Management in U.S. Automobile Manufacturing: Electric Vehicles and Competitive Advantage

This study examined the role of strategic innovation management in the U.S. automobile manufacturing sector, focusing on the development and deployment of electric vehicles (EVs). Utilizing data from 2010 to 2020, the research sought to understand how innovation in electric vehicles contributed to competitive advantage among American manufacturers. Our analysis revealed that companies investing in EV technology experienced a 25% average increase in market share compared to those that did not. Moreover, investment in EV research and development correlated with a 30% rise in profitability over the same period. Companies like Tesla led the market, capturing 60% of the EV market share in the United States by 2020. Traditional manufacturers like General Motors and Ford were observed to gradually adapt to this trend, with GM committing to go fully electric by 2035. The study concluded that strategic innovation in electric vehicles was a critical factor for competitive advantage in the U.S. automobile manufacturing industry. Adoption of such strategies was found to be both environmentally sustainable and financially rewarding for companies willing to embrace this technological shift. Keywords: Strategic Innovation, U.S. Automobile Manufacturing, Electric Vehicles, Competitive Advantage, Market Share

Electromobility Prospects in Greece by 2030: A Regional Perspective on Strategic Policy Analysis

Electromobility represents a strong option for reducing carbon emissions in the road transport sector. This study presents a methodology and a simulation tool that project the evolution of the market share of electric vehicles (EVs) in the new car market. The analysis adopts a stylized regional resolution, which accounts for attributes on the NUTS-2 level, such as the population density, GDP/capita, education levels, and current EV charger distribution, to simulate the uptake of BEVs in different regions. The methodology applies discrete choice modelling techniques, considering tangible and intangible factors, including purchasing and operation costs, an estimated cost for range anxiety and public charging, and a market maturity index. The analysis is based on four different scenarios, referring to the updated Greek National Energy Climate Plan. The results reveal that regions with a higher average income, GDP/capita, and population density show a higher uptake of EVs. Overall, the tool implements a method of simulating the market evolution of EVs up to 2030 in reference to regional parameters and, hence, highlights the regions that require the most attention in order to achieve national targets. The results can inform policymakers in developing tailored strategies and financial support to accelerate the adoption of BEVs, particularly in regions where their uptake prospects are lower.

An incentivized scheme for electric vehicle charging demand management

The market share of electric vehicles (EVs) is expected to grow, necessitating infrastructure development to support this expansion. However, scientific literature predominantly focuses on charging infrastructure design, overlooking the importance of pricing strategies that can optimize their utilization. To address this gap, this study presents an integrated incentive scheme aimed at maximizing system utilization by effectively distributing the charging demand across stations. Moreover, a novel concept of Flex Accessible Charging Points (FLEX-ACP) is introduced, specifically designed to enhance accessibility and reduce waiting time for users with disabilities and seniors (UDS). The proposed framework utilizes an optimal charging network configuration, considering the number and locations of charging facilities, and then determines appropriate incentives at each station to minimize total waiting time. The problem is formulated as a bi-level optimization model, which is subsequently transformed into a single-level mixed-integer nonlinear program (MINLP). To solve this program, a combination of heuristic and branch-and-cut algorithms is employed. The developed models are tested through a realistic case study, utilizing real-world data from Salt Lake County in Utah.

Lithium Extraction from Geothermal Brine Using Electrodialysis Method

The global market share of electric vehicles is expected to increase significantly. The lithium-ion battery is one type of battery that can power electric vehicles because light, inexpensive, has a high energy density, and has a long service life. Lithium may be obtained economically from hard rock ores and brines. Indonesia has a huge geothermal potential and lithium concentration in geothermal brine can reach 70 mg L−1. With the high concentration of lithium in brine, this is a great opportunity for Indonesia to produce lithium independently. The separation of lithium from brine can be separated by various methods. One method that has high effectiveness is by using the electrodialysis method. This study will extract lithium from geothermal brine with the electrodialysis method using monovalent membranes. Anion exchange membrane (AEM) and cation exchange membrane (CEM) are used in this system. The recovery solution to collect lithium from brine is HCl 0,1 M. We variate the voltages (2 volt and 3 volts) to see the effect on flux and conductivity. From the experiment, the 3 volts give more flux and conductivity than the 2 volts. The 3 volts has 10 mL cm−2 h−1 of flux and 2110 μS cm−1 of conductivity while the 2 volts has 4 mL cm−2 h−1 of flux and 1770 μS cm−1 of conductivity. The higher voltages given to the system, the easier separation can be done.

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.

Has Consumer Acceptance of Electric Vehicles Been Increasing? Evidence from Microdata on Every New Vehicle Sale in the United States

Electric vehicle (EV) sales have been rapidly growing around the world, spurred by technology advances and policy actions. This study leverages rich data on all individual new light-duty vehicles sold in the United States from 2014 to 2020. We examine how EV attributes, prices, and sales have evolved, exploring substantial heterogeneity across geography, vehicle class, price range, and demographics. We use a matching analysis to compare EVs to similar conventional vehicles to find that EVs have been surprisingly competitive in very recent years. This suggests that constrained supply is an important determinant of the low overall EV market share.