Design, performance trends, and exergy efficiency of the Brazilian passenger vehicle fleet: 1970 2020

2021 ◽  
pp. 125788
Author(s):  
Rafael Fernandes Mosquim ◽  
Carlos Eduardo Keutenedjian Mady
2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Xin He ◽  
Shiqi Ou ◽  
Yu Gan ◽  
Zifeng Lu ◽  
Steven Victor Przesmitzki ◽  
...  

Abstract For over ten years, China has been the largest vehicle market in the world. In order to address energy security and air quality concerns, China issued the Dual Credit policy to improve vehicle efficiency and accelerate New Energy Vehicle adoption. In this paper, a market-penetration model is combined with a vehicle fleet model to assess implications on greenhouse gas (GHG) emissions and energy demand. Here we use this integrated modeling framework to study several scenarios, including hypothetical policy tweaks, oil price, battery cost and charging infrastructure for the Chinese passenger vehicle fleet. The model shows that the total GHGs of the Chinese passenger vehicle fleet are expected to peak in 2032 under the Dual Credit policy. A significant reduction in GHG emissions is possible if more efficient internal combustion engines continue to be part of the technology mix in the short term with more New Energy Vehicle penetration in the long term.


2021 ◽  
Author(s):  
Jianxin Li ◽  
Huanran Liu ◽  
Mingnan Zhao ◽  
Yan Zhang ◽  
Ting Zhang ◽  
...  

2007 ◽  
Vol 122 (3) ◽  
pp. 319-328 ◽  
Author(s):  
Keli A. Braitman ◽  
Susan A. Ferguson ◽  
Kamal Elharam

2020 ◽  
Vol 12 (12) ◽  
pp. 5032 ◽  
Author(s):  
Antti Lajunen ◽  
Klaus Kivekäs ◽  
Jari Vepsäläinen ◽  
Kari Tammi

Different estimations have been presented for the amount of electric vehicles in the future. These estimations rarely take into account any realistic dynamics of the vehicle fleet. The objective of this paper is to analyze recently presented future scenarios about the passenger vehicle fleet estimations and create a foundation for the development of a fleet estimation model for passenger cars dedicated to the Finnish vehicle market conditions. The specific conditions of the Finnish light-duty vehicle fleet are taken into account as boundary conditions for the model development. The fleet model can be used for the estimation of emissions-optimal future vehicle fleets and the evaluation of the carbon dioxide emissions of transportation. The emission analysis was done for four different scenarios of the passenger vehicle fleet development in Finland. The results show that the high average age of the fleet and high number of older gasoline vehicles will slow down the reduction of carbon dioxide emissions during the next five to ten years even with a high adoption rate of electric vehicles. It can be concluded that lowering the average age, increasing biofuel mixing ratios, and increasing the amount of rechargeable electric vehicles are the most effective measures to reduce carbon dioxide emissions of the Finnish passenger vehicle fleet in the future.


2020 ◽  
Vol 11 (2) ◽  
pp. 38 ◽  
Author(s):  
Erik Figenbaum

Norway is the largest Battery Electric Vehicle (BEV) market in the world per capita. The share of the passenger vehicle fleet passed 9.4% at the end of 2019, and users have access to 1500 Combined Charging System (CCS)/Chademo standard fast chargers located in more than 500 different locations. This paper analyses the usage pattern of these fast chargers using a dataset from two large operators covering most of their charging events between Q1 2016 and Q1 2018. The target of the analysis was to understand the fundamental factors that drive the demand for fast charging and influences the user experience, so that they can be taken into account when dimensioning charge facilities, and when designing vehicles. The data displays clear variations in charge power, charge time and charged energy between winter and summer, and a large spread of results due to the BEV models different technical characteristics. The charge power is clearly reduced in the winter compared to the summer, while the charge time is longer. Some charge events have a particularly low charge power which may be due to users fast charging a cold battery at a high State of Charge (SOC) in a vehicle with passive battery thermal management.


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