Market Potential For Electric Vehicles Research Articles

Unlocking the market potential of electric vehicles in the Philippines: A statistical and neural network approach to customer willingness to purchase electric vehicles

The research aims to identify the key drivers and barriers to EV adoption, inform policymakers and guide future research in the Philippines. The study used a descriptive survey method with 150 Metro Manila car dealership customers as respondents. The research findings indicate that single-family homeowners are willing to invest in EVs if charging infrastructure is available at home. EV safety, dependability, power, performance, design and availability are crucial for increasing EV adoption. Awareness and incentives were identified as hindrances to adoption. The research suggests that technical fixes and policy tools are needed to promote EV adoption and knowledge sharing is necessary to raise customer awareness. A neural network model was created to determine the willingness to purchase an EV. The findings have implications for policymakers, EV manufacturers and stakeholders interested in understanding barriers to EV adoption. The research highlights the importance of safety, reliability and environmental benefits in joint household purchase decisions. The study identifies economic, technological, policy, infrastructure and social barriers to EV adoption and suggests the need for targeted initiatives and information dissemination to overcome these barriers. The report acknowledges limitations and offers avenues for future research to explore additional factors and variables influencing EV adoption.

Home charging and electric vehicle diffusion: Agent-based simulation using choice-based conjoint data

Electric vehicles offer the potential of climate-friendly driving and have received more and more attention in diffusion research recently. However, the effect of the availability of home charging options on the market potential of electric vehicles has not been targeted in detail in the diffusion process so far, although it represents a beneficial differentiation to conventional vehicles. Therefore, we present an agent-based simulation to address the buying behavior of German consumers regarding electric and plug-in hybrid electric vehicles using empirical data primarily derived from a choice-based conjoint study. We explicitly consider individual possibilities of home charging in our model, which appears to have an important influence on the diffusion of both, electric and plug-in hybrid electric vehicles. However, its importance decreases with faster charging times at public charging stations. Furthermore, our findings reveal that in the longer term, technological progress in charging time, range, and charging station density of electric vehicles is presumably cannibalizing plug-in hybrid electric vehicles’ market shares more than that of conventional vehicles. However, with still lower technological capabilities of electric vehicles, a governmental subsidy can initially promote plug-in hybrid electric vehicles, but electric vehicles will benefit later from that promotional effect.

Cost Reduction through Cell Design Optimization for Vehicle Requirements-From Active Material to Vehicle Product Portfolios

The cost situation for lithium-ion batteries is one of the key limitations for the market potential of electric vehicles and has been covered by several authors from the industry and science sector. This work addresses the relation between active material properties, cell design and vehicle requirements. The results of this investigation show that the efficient use of the cell properties in the vehicle application will be decisive for the competitiveness of OEMs and battery suppliers. The center of the research is a cell model in which different active material properties, cell formats and electrode layouts can be implemented flexibly. Within a constant volume of a standardized cell housing the variation of the electrode loadings leads to relationships between the storable energy and the power of the cell. The costs determined for each specific cell design then allow describing the relation between the power to energy ratio of a cell and its energy specific costs for current and future materials. The optimal cost situation is reached when the P/E-ratio of the cell matches the required P/E-ratio of the storage system. In a broad vehicle portfolio this means a specific cell would be required for each car project. This potentially large number of cell types seems unfavorable for OEMs to handle. Therefore a genetic algorithm optimization is applied to determine the cost-optimal number and specifications of cells to address a certain vehicle portfolio. For these optimizations further restrictions such as voltage level limitations are considered as well. The tool derived from these considerations can support OEMs as well as cell & material suppliers to find the optimal modular kit for their lithium-ion cell strategy considering individual customer requirements.

Market potential for electric vehicles in the German commercial passenger transport sector

Commercial transport is often referred to as an early market for plug-in electric vehicles (PEVs). In comparison to private transport, commercial transport with passenger cars is characterized by higher vehicle kilometers traveled (VKT) forming an important factor for a quick pay-off of PEVs. In this paper, we analyze multi-day driving profiles of German passenger cars and light-duty commercial vehicles from the commercial transport sector. These commercial vehicles amount to almost two thirds of the annual vehicle registrations in Germany and thus form an important market segment. Our analysis shows that about 30 % of German commercial vehicles could be economically operated as PEVs in 2020. However, it becomes apparent that energy and battery prices have a high impact on the future market share of plug-in electric vehicles in this segment.

A choice-based conjoint analysis on the market potential of PHEVs and BEVs in Flanders

In this paper, the market potential for electric vehicles (EVs) in Flanders (Belgium) is forecasted with the use of a choice-based conjoint (CBC) analysis. In May 2011, a large-scale survey was conducted (n = 1.197). The goal of the survey was twofold: estimate the market potential for (plug-in hybrid) electric vehicles in Flanders (Belgium) and formulate recommendations for the further deployment of electric vehicles within the region of Flanders. When looking at the forecasts based on the CBC experiment, in 2020, battery electric vehicles (BEVs) could reach a market share of around 5% of the newly sold vehicles in Flanders. Plug-in hybrid electric vehicles (PHEVs) could have a market share of around 7%. In 2030, these figures could increase to respectively 15% and 29%. A sensitivity analysis reveals that, in order to increase the potential for (PH)EVs, the main focus should be on decreasing the purchase costs.

Who will buy electric cars? An empirical study in Germany

This study forecasts the market potential of electric vehicles by looking at 14 categories of vehicle. It weighs the individual priorities against social preferences and a selection process is used to analyse priorities and barriers to allow individuals considered potential electric vehicle buyers to be identified.

SOUTH KOREAN FIRMS INVEST IN U.S.

THE GOVERNORS of Michigan and Georgia, in separate announcements made on Nov. 5, are welcoming investments by South Korean chemical companies that expand high-technology manufacturing in their states. LG Chem will build a new electrolyte production plant in Holland, Mich., to supply its nearby $300 million lithium-ion battery cell facility, currently under construction. The battery facility received significant government incentives, including a $151 million federal grant for battery manufacturers and more than $100 million in state tax credits. “We appreciate LG Chem CEO Peter Kim’s assertion that the company intends to make this key component in Michigan,” said Gov. Jennifer M. Granholm. “Today’s announcement sends a strong signal about the market potential for electric vehicles and reaffirms LG Chem’s commitment to our state.” The battery cells will be assembled into electric-car batteries by LG Chem’s North American subsidiary, Compact Power, in Troy, Mich. Compact Power will supply batteries for Gene...