scholarly journals Polish car with electric drive

2018 ◽  
Vol 19 (6) ◽  
pp. 577-580
Author(s):  
Andrzej Maciejczyk

The article discussed the car market in Poland, including vehicles with electric drive. The assumptions for the competition for a Polish electric car have been presented. The structure of the vehicle's body and prototype was analyzed in terms of the location of the batteries. The requirements for connection cells into battery packs are indicated. Methods for determining energy consumption were analyzed. Real energy consumption values were estimated. The problem of the lack of charging infrastructure for batteries has been discussed. Examples of charging times for batteries using high power chargers are shown.

2021 ◽  
Vol 17 (12) ◽  
pp. 2272-2294
Author(s):  
Svetlana V. RATNER ◽  
Valerii V. IOSIFOV

Subject. The article addresses the standards for greenhouse gas emissions that are currently considered as an effective tool for stimulating the development of alternative transport technologies. However, quantitative evaluation of their effectiveness is not available, which is partially explained by the lack of statistical information from different countries. Objectives. The purpose is to build econometric models of the influence of these standards on the electric car market development. Methods. The annual reports of the International Energy Agency on the development of the electric car market and the data of the Global EV Data Explorer statistics center serve as the information base of the study. We analyzed time series for indicators of sales of electric cars in different countries and built mixed models, considering the auto-regression component, which helps describe the internal dynamics of the electric car market. Results. The obtained regression coefficients in models for various countries can be used as interval evaluations for forecasting the growth of electric car sales in Russia, given the necessary conditions for developing a charging infrastructure and creating a system of incentives to match the cost of electric cars to that of traditional vehicles. Conclusions. These interval evaluations may be useful for further decisions on the development of charging infrastructure, planning for resource use for electricity generation, calculating optimal subsidy or tax relief to support electric cars, evaluating the economic consequences of introducing the new standards on CO2 emissions, etc.


Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3966
Author(s):  
Jarosław Mamala ◽  
Michał Śmieja ◽  
Krzysztof Prażnowski

The market demand for vehicles with reduced energy consumption, as well as increasingly stringent standards limiting CO2 emissions, are the focus of a large number of research works undertaken in the analysis of the energy consumption of cars in real operating conditions. Taking into account the growing share of hybrid drive units on the automotive market, the aim of the article is to analyse the total unit energy consumption of a car operating in real road conditions, equipped with an advanced hybrid drive system of the PHEV (plug-in hybrid electric vehicles) type. In this paper, special attention has been paid to the total unit energy consumption of a car resulting from the cooperation of the two independent power units, internal combustion and electric. The results obtained for the individual drive units were presented in the form of a new unit index of the car, which allows us to compare the consumption of energy obtained from fuel with the use of electricity supported from the car’s batteries, during journeys in real road conditions. The presented research results indicate a several-fold increase in the total unit energy consumption of a car powered by an internal combustion engine compared to an electric car. The values of the total unit energy consumption of the car in real road conditions for the internal combustion drive are within the range 1.25–2.95 (J/(kg · m)) in relation to the electric drive 0.27–1.1 (J/(kg · m)) in terms of instantaneous values. In terms of average values, the appropriate values for only the combustion engine are 1.54 (J/(kg · m)) and for the electric drive only are 0.45 (J/(kg · m)) which results in the internal combustion engine values being 3.4 times higher than the electric values. It is the combustion of fuel that causes the greatest increase in energy supplied from the drive unit to the car’s propulsion system in the TTW (tank to wheels) system. At the same time this component is responsible for energy losses and CO2 emissions to the environment. The results were analysed to identify the differences between the actual life cycle energy consumption of the hybrid powertrain and the WLTP (Worldwide Harmonized Light-Duty Test Procedure) homologation cycle.


Author(s):  
Alessandro Ciociola ◽  
Dena Markudova ◽  
Luca Vassio ◽  
Danilo Giordano ◽  
Marco Mellia ◽  
...  

2019 ◽  
Vol 144 (3) ◽  
pp. 32-39
Author(s):  
B.I. Mokin ◽  
◽  
O.B. Mokin ◽  
V.V. Horeniuk ◽  
◽  
...  

2010 ◽  
Author(s):  
Matthew Watson ◽  
Carl Byington ◽  
Genna Mott ◽  
Sudarshan Bharadwaj

Author(s):  
Tenghui Dong ◽  
Jaedon Kwak ◽  
Liangliang Wei ◽  
Alberto Castellazzi ◽  
Taketsune Nakamura

2021 ◽  
pp. 66-71
Author(s):  
NIKOLAY V. TSUGLENOK ◽  

The authors have determined the conditions for the eff ective use of modern electrifi ed circular sprinklers in the central part of Russia. Their designs are chosen depending on the agrotechnical requirements for irrigation, including the change in the diameter of the water distribution pipeline. However, when the diameter of the pipeline changes, the load on the electric drive of the support trolleys of the sprinkler changes too, which leads to a corresponding change in energy consumption. In turn, this also changes the load of the water supply pump. The paper sets the task of determining the optimal change in the diameter of pipelines according to the criterion of minimum energy consumption, taking into account a number of assumptions. The authors have analyzed the relationship between the change in the load on the electric drive of the sprinkler support trolley and the change in the diameter of one sprinkler section pipeline. It has been found that a decrease in the diameter by 27% (for example, the transition of the diameter of 219 mm to the diameter of 159 mm) leads to a decrease in the load on the electric drive by 38%. However, this also leads to an increase in the head loss in the water supply pump motor and, respectively, to an increase in the load and energy consumption by 0.8…3.8%. The eff ect is initially obvious, but the power of the electric motor of the water supply pump is 10…25 times higher than that of the electric motor of the sprinkler support trolley. Based on the similarity coeffi cients of the irrigation components (water supply and water distribution), the relationship beteween the total energy consumption and the change in the diameter of the water distribution pipeline has been obtained. By diff erentiating the obtained function, the dependence of the value of the optimal diameter for specifi c operating conditions is also obtained. Graphs of the relationship between energy consumption and the change in diameter have been determined, taking into account some restrictions: pump supply, static pressure, and the number of the sprinkler sections.


2021 ◽  
pp. 147-163
Author(s):  
Friedrich Graf ◽  
Martin Beiderbeck ◽  
Thomas Knorr ◽  
Dietmar Ellmer ◽  
Mattia Perugini

2019 ◽  
Vol 9 (16) ◽  
pp. 3352 ◽  
Author(s):  
Yuhuan Liu ◽  
Enjian Yao ◽  
Shasha Liu

As a new type of green bus, the pure electric bus has obvious advantages in energy consumption and emission reduction compared with the traditional fuel bus. However, the pure electric bus has a mileage range constraint and the amount of charging infrastructure cannot meet the demand, which makes the scheduling of the electric bus driving plans more complicated. Meanwhile, many routes are operated with mixing pure electric buses and traditional fuel buses. As mentioned above, we focus on the operating organization problem with the multi-type bus (pure electric buses and traditional fuel buses), aiming to provide guidance for future application of electric buses. We take minimizing the energy consumption of vehicles, the waiting and traveling time of passengers as the objectives, while considering the constraints of vehicle full load limitation, minimal departure interval, mileage range and charging time window. The energy consumption based multi-type bus operating organization model was formulated, along with the heuristic algorithm to solve it. Then, a case study in Beijing was performed. The results showed that, the optimal mixing ratio of electric bus and fuel bus vary according to the variation of passenger flow. In general, each fuel bus could be replaced by two pure electric buses. Moreover, in the transition process of energy structure in public transport, the vehicle scale keeps increasing. The parking yard capacity and the amount of charging facilities are supposed to be further expanded.


2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Zongwei Liu ◽  
Hong Tan ◽  
Xu Kuang ◽  
Han Hao ◽  
Fuquan Zhao

The development of intelligent vehicle will provide the Chinese automotive industry with a strategic opportunity for transformation and upgrading. Vehicular intelligence provides new solutions for energy conservation and emissions mitigation. However, the process of vehicular intelligence is progressive. The saving of energy consumption depends on the high smart car market penetration rate. But one thing that can be confirmed is that intelligent vehicles are equipped with advanced sensors, controllers, and actuators, in combination with connecting communication technologies compared with conventional vehicles, for which the energy consumption of the vehicle will definitely increase. In this study, vehicle fuel consumption cost at different levels of intelligence is calculated, considering the energy consumption of hardware used for automation and connecting functions, the energy consumption cost generated by the quality of the hardware, and the wind resistance. The results reveal that the energy consumption per 100 kilometers of an intelligent vehicle ranges from 0.78L to 1.86L, more than traditional vehicle. The energy consumption cost of automation functions is much higher than that of the connecting functions. Computing platform performance, connection strength, and radar performance are the three main factors that affect energy consumption cost. Based on the analysis, the high energy consumption cost of vehicular intelligence has a profound impact on choosing power platform.


Sign in / Sign up

Export Citation Format

Share Document