scholarly journals Feature-based Analysis of the Energy Consumption of Battery Electric Vehicles

2021 ◽  
Author(s):  
Patrick Petersen ◽  
Aya Khdar ◽  
Eric Sax
Keyword(s):  
Energy Consumption ◽  
Electric Vehicles ◽  
Battery Electric Vehicles ◽  
Feature Based

scholarly journals Comprehensive Evaluation of the Sustainable Development of Battery Electric Vehicles in China

2019 ◽  
Vol 11 (20) ◽  
pp. 5635 ◽  
Author(s):  
Wang ◽  
Zhou ◽  
Li ◽  
Wei
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Consumption ◽  
Electric Vehicles ◽  
Social Life ◽  
Sustainability Assessment ◽  
Rapid Development ◽  
Social Life Cycle Assessment ◽  
Battery Electric Vehicles ◽  
The Social

Due to the rapid growth in the total number of vehicles in China, energy consumption and environmental pollution are serious problems. The development of electric vehicles (EVs) has become one of the important measures for solving these problems. As EVs are in a period of rapid development, sustainability research on them is conducive to the timely discovery of—and solution to—problems in the development process, but current research on the sustainability of EVs is still scarce. Based on the strategic development direction of EVs in China, battery electric vehicles (BEVs) were chosen as the research object of this study. The theory and method of the life cycle sustainability assessment (LCSA) were used to study the sustainability of BEVs. Specifically, the indicators of the life cycle assessment (LCA) were constructed, and the GaBi software was used to assess the environmental dimensions. The framework of life cycle costing (LCC) was used to assess the economic dimensions from the perspective of consumers. The indicators of the social life cycle assessment (SLCA) of stakeholders were constructed to assess the social dimension. Then, the method of the technique for order preference by similarity to ideal solution (TOPSIS) was selected for multicriteria decision-making in order to integrate the three dimensions. A specific conclusion was drawn from a comparison of BEVs and internal combustion engine vehicles (ICEVs). The study found that the life cycle sustainability of ICEVs in China was better than that of BEVs. This result might be unexpected, but there were reasons for it. Through sensitivity analysis, it was concluded that the current power structure and energy consumption in the operation phase of BEVs had a higher environmental impact, and the high cost of batteries and the government subsidy policy had a higher impact on the cost of BEVs. Corresponding suggestions are put forward at the end of the article.

scholarly journals Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries

2021 ◽  
Vol 13 (24) ◽  
pp. 13611
Author(s):  
José Alberto Fuinhas ◽  
Matheus Koengkan ◽  
Nuno Carlos Leitão ◽  
Chinazaekpere Nwani ◽  
Gizem Uzuner ◽  
...  
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Electric Vehicles ◽  
Ordinary Least Squares ◽  
Gas Emissions ◽  
Battery Electric Vehicles ◽  
The Eu

This analysis explored the effect of battery electric vehicles (BEVs) on greenhouse gas emissions (GHGs) in a panel of twenty-nine countries from the European Union (EU) from 2010 to 2020. The method of moments quantile regression (MM-QR) was used, and the ordinary least squares with fixed effects (OLSfe) was used to verify the robustness of the results. The MM-QR support that in all three quantiles, economic growth causes a positive impact on GHGs. In the 50th and 75th quantiles, energy consumption causes a positive effect on GHGs. BEVs in the 25th, 50th, and 75th quantiles have a negative impact on GHGs. The OLSfe reveals that economic growth has a negative effect on GHGs, which contradicts the results from MM-QR. Energy consumption positively impacts GHGs. BEVs negatively impacts GHGs. Although the EU has supported a more sustainable transport system, accelerating the adoption of BEVs still requires effective political planning to achieve net-zero emissions. Thus, BEVs are an important technology to reduce GHGs to achieve the EU targets of decarbonising the energy sector. This research topic can open policy discussion between industry, government, and researchers, towards ensuring that BEVs provide a climate change mitigation pathway in the EU region.

A simulation-based concept design approach for combustion engine and battery electric vehicles

2018 ◽  
Vol 233 (7) ◽  
pp. 1950-1967 ◽  
Author(s):  
Nikola Holjevac ◽  
Federico Cheli ◽  
Massimiliano Gobbi
Keyword(s):  
Energy Consumption ◽  
Internal Combustion Engine ◽  
Electric Vehicles ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Computer Aided Engineering ◽  
Concept Design ◽  
Battery Electric Vehicles ◽  
Computer Aided ◽  
Effective Design

The early concept design of a vehicle is becoming increasingly crucial to determine the success of a car. Broadening market competition, more stringent regulations and fast technological changes require a prompt response from carmakers, and computer-aided engineering has emerged in recent years as the promising way to provide more efficient and cost-effective design and to cut development time and costs. The work presented in this paper shows an approach based on computer-aided engineering to determine vehicle’s energy consumption and performance. The different vehicle’s subsystem are first analyzed separately by using dedicated simulation tools and then integrated to obtain the entire vehicle. The work covers a wide range of vehicle layouts. Internal combustion engine vehicles and battery electric vehicles are considered and various transmission configurations are contemplated with respect to some of the most adopted solutions for these vehicles. The simulation results allow to identify the most effective design variables regarding the combustion engine and the electric motor and to compare the different layouts over various car segments. The results clearly point out that for internal combustion engine vehicles, the combustion engine is the crucial component that defines the vehicle’s characteristics and particularly the energy consumption. Conversely, battery electric vehicles show a more balanced distribution of the losses, and therefore to improve the vehicle’s behavior, different components should be considered in detail. Nevertheless, the choice of the number of electric motors and the transmission choice play a significant role in defining the vehicle performances.

scholarly journals Multi-objective Eco-Routing Model Development and Evaluation for Battery Electric Vehicles

2021 ◽  
pp. 036119812110315
Author(s):  
Kyoungho Ahn ◽  
Youssef Bichiou ◽  
Mohamed Farag ◽  
Hesham A. Rakha
Keyword(s):  
Energy Consumption ◽  
Travel Time ◽  
Electric Vehicles ◽  
Large Scale ◽  
Traffic Assignment ◽  
Combustion Engine ◽  
Model Development ◽  
User Equilibrium ◽  
Multi Objective ◽  
Battery Electric Vehicles

This paper develops a multi-objective eco-routing algorithm (eco- and travel time-optimum routing) for battery electric vehicles (BEVs) and internal combustion engine vehicles (ICEVs) and investigates the network-wide impacts of the proposed multi-objective Nash optimum (user equilibrium) traffic assignment on a large-scale network. Unlike ICEVs, BEVs are more energy efficient on low-speed arterial trips compared with highway trips. Different energy consumption patterns require different eco-routing strategies for ICEVs and BEVs. This study found that single-objective eco-routing could significantly reduce the energy consumption of BEVs but also significantly increase their average travel time. Consequently, the study developed a multi-objective routing model (eco- and travel time-routing) to improve both energy and travel time measures. The model introduced a link cost function that uses the specification of the value of time and the cost of fuel/energy. The simulation study found that multi-objective routing could reduce BEV energy consumption by 13.5%, 14.2%, 12.9%, and 10.7%, as well as ICEV fuel consumption by 0.1%, 4.3%, 3.4%, and 10.6% for “not congested, “slightly congested,”“moderately congested,” and “highly congested” conditions, respectively. The study also found that multi-objective user equilibrium routing reduced the average vehicle travel time by up to 10.1% compared with the standard user equilibrium traffic assignment for highly congested conditions, producing a solution closer to the system optimum traffic assignment. The results indicate that the proposed multi-objective eco-routing strategy can reduce vehicle fuel/energy consumption effectively with minimum impacts on travel times for both BEVs and ICEVs.

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