scholarly journals Features of operation of the Tesla Model S90D electric car in the conditions of the cities of Ukraine

2021 ◽  
Vol 2021 (1) ◽  
pp. 75-83
Author(s):  
Roman Kachmar ◽  
Keyword(s):  
Traffic Safety ◽  
Alternative Energy ◽  
Energy Use ◽  
Power Saving ◽  
Negative Temperature ◽  
Electric Cars ◽  
Electric Car ◽  
Safety Research ◽  
Battery Capacity ◽  
Accumulator Battery

Tendencies of sustainable development of transport, the use of alternative energy sources, and requirements to the reduction of the carbon footprint on all stages of life cycle on all levels of road transport have led to the increase of the share of the electric car both at the first registration and used vehicles. The appearance of a large amount of used modern electric cars on the market caused the necessity to develop the procedures of provision their technical operation both by requirements of rational use and provision of traffic safety. Research of the use of electric car Tesla Model S90D in conditions of Ukraine is carried out with certain indicators of environment and with different settings of car parameters. This provides an opportunity to understand how much the given model of the electric car is appropriate in exploitation in different conditions and also to determine which parameters of electric car settings fit the economic usage in different conditions and different seasons most of all. By results of road research on the change of accumulator battery capacity depending on the temperature of the environment, we established that the capacity reduces by 1% with every degree of negative temperature. A comfortable range of temperatures is determined for the use of accumulator battery of car (from 0 to 20 °С) is determined. By results of the research, the indicators of the effectiveness of the use of electric car battery power saving mode are determined – the reduction of the consumption is from 14 to 29 % depending on energy consumers. The significant impact of the pressure values in electric car tires on the energy consumption is established independently from turning on the energy consumers – the increase is from 10% to 40% depending on its speed of movement. Additionally, the determination of the indicators of electric car energy effectiveness for the speed of 140-150 km/h is carried out by which the energy use is 550-670 W h/km and provides the driving distance on the level of 160 km.

Mahindra Electric Cars: Challenges of Driving a Revolution in the Indian Market

2021 ◽  
pp. 097282012110350
Author(s):  
Tripti Dhote ◽  
Chaitanya P.K. ◽  
Juhi Mandot
Keyword(s):  
Electric Mobility ◽  
Automotive Sector ◽  
Indian Market ◽  
Electric Cars ◽  
Electric Car ◽  
Government Decision ◽  
The Future

Small cars accounted for 75% of the cars sold in India; electrification of these cars and making them affordable was one of the major challenges apart from the infrastructure. Hence, leading automakers saw this as highly impracticable. However, Mahindra Electric Cars Pvt. Ltd., India’s only electric car maker, firmly believed that electric mobility, though in the nascent stage, is the future of the automotive sector. The case tries to deals with Mahindra Electric Cars Pvt. Ltd.’s opportunities and challenges, the pioneers in electric mobility in India in the wake of government decision. It raises certain imperative questions like: Is the Indian market ready for electric cars? What will be the likely impact on the current market scenario? Can the automaker create a favourable perception in consumers’ minds towards electric cars? Will this new category thrive in a hyper-competitive conventional market? This case is written based on insights provided by the company. The case authors interacted with the four-member Mahindra team in Bangalore, India, and got first-hand input.

scholarly journals Modification of geometry of airfoil NACA 0018 towards work testing vertical axis wind type Darrieus Eggbeater

2021 ◽  
Vol 878 (1) ◽  
pp. 012071
Author(s):  
B Tarihoran ◽  
M D Sebayang ◽  
M Pane
Keyword(s):  
Wind Speed ◽  
Alternative Energy ◽  
Energy Use ◽  
Energy Savings ◽  
Research Result ◽  
Vertical Axis ◽  
Energy Crisis ◽  
Speed Ratio ◽  
Vertical Axis Wind Turbine ◽  
Fossil Energy

Abstract Technological developments on energy savings are caused by increasing demand for energy use from year to year. This is done to avoid an energy crisis. The energy crisis is a problem that is being faced because of the depletion of fossil energy. To restore fossil energy can require natural processes in a long time. With the limited availability of fossil energy, it is very necessary to develop alternative energy sources that are friendly to the environment, one of which is wind energy. Indonesia is an archipelago, so the wind speed in Indonesia is relatively low, then in this study can be overcome using a vertical axis wind turbine (VAWT). This research was conducted to find out power of Coefficient, type speed ratio in the variation of wind speed in the turbine. This study uses a wind power design with a vertical axis. Blades are used from modified NACA 0018 airfoil. Research result taken at the time of testing is with wind speeds ranging from 3 m / s to 6,1 m/s which measures the capacity of electric power produced by turbines with a load of 10 watts. The results of this study are the minimum actual power of the turbine 2.881 Watt with TSR 0.4 and Cp 0.18 at wind speed 3 m/s, and the maximum power obtained at a speed of 6,1m/s that is equal to 14.62 Watt with a TSR of 0.25 and Cp of 0.29.

scholarly journals Personality Trait Effects on Green Household Installations

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Ante Busic-Sontic ◽  
Cameron Brick
Keyword(s):  
Personality Traits ◽  
Alternative Energy ◽  
Energy Use ◽  
Environmental Concern ◽  
Economic Benefits ◽  
Green Energy ◽  
Big Five Personality ◽  
Household Decision ◽  
Green Investments

Large, one-time investments in green energy installations effectively reduce domestic energy use and greenhouse gas emissions. Despite long-term economic benefits for households, the rate of green investments often remains moderate unless supported by financial subsidies. Beyond financial considerations, green investments may also be driven by individual psychological factors. The current study uses data from the German Socio-Economic Panel (N = 3,468) to analyse whether the household decision to invest in green energy installations is linked to the Big Five personality traits. Personality traits and domestic investments in solar and other alternative energy systems had weak indirect associations through environmental concern but not through risk preferences. Openness to Experience and Neuroticism showed a weak positive relationship with green energy installations through the environmental concern channel, whereas Extraversion had a weak negative link. Based on these findings, persuasive messaging for green investments may be more effective when it focuses on environmental concern rather than reduced risk in countries like Germany, where long-standing financial subsidies decreased the risk in green investments.

scholarly journals Automatic Parallel Car Parking System using Sensors and Arduino UNO

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3531-3534
Keyword(s):  
Parallel Parking ◽  
New Model ◽  
Parking Lots ◽  
Electric Cars ◽  
Electric Car ◽  
Parking Problem ◽  
Parking System ◽  
Arduino Uno ◽  
Pass Through

In this busy world, people are tending towards automation in all routine works which in turn is saving their time. Due to the increased use of cars and congesting places, everywhere we are facing a queue to pass through. One such queue we face is in the parallel parking lots. For solving this problem, many automobile manufacturers have come up with Auto Parking Features in New Model Cars. Then what about Old Cars? Shouldn’t those Old Cars get modified with this Auto Parking facility? Yes, they can get modified with our proposed solution. In this paper, we are presenting a solution in the form of a module for the parallel parking problem called “Automatic Parallel Car Parking System – using Sensors and Arduino UNO”. Along with New Cars, this module can also be integrated with Old Electric Cars to bring Auto Parallel Park feature. This paper also discusses existing Auto Parallel Parking Systems. It also discusses the proposed solution by solving the flaws in existing solutions. The proposed solution is easily adaptable, with small modifications to an electric car. Future enhancements are also proposed.

scholarly journals ANALISIS AERODINAMIKA PADA PERMUKAAN BODI KENDARAAN MOBIL LISTRIK GASKI (GANESHA SAKTI) DENGAN PERANGKAT LUNAK ANSYS 14.5

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Yudi Prihadnyana ◽  
Gede Widayana ◽  
Kadek Rihendra Dantes
Keyword(s):  
Fluid Flow ◽  
Flow Rate ◽  
Body Modification ◽  
The Body ◽  
Vehicle Body ◽  
Maximum Pressure ◽  
Air Velocity ◽  
Electric Cars ◽  
Minimum Pressure ◽  
Electric Car

Dengan perkembangan teknologi yang semakin maju bentuk dari bodi sebuah kendaraan sangatlah diperhitungkan untuk mencapai tujuan-tujuan tertentu. Untuk itu, dilakukan analisis Aerodinamika pada pemukaan bodi mobil listrik gaski dengan menggunakan perangkat lunak Ansys 14.5, yang bertujuan untuk mengetahui aliran fluida dan nilai koefisient drag pada mobil listrik Gaski bodi standar dan modifikasi. Setelah proses analisis dilakukan, didapatkan hasil velocity udara maksimum body standar sebesar 17,4324 m/s dan body modifikasi sebesar 17,7321 m/s dan pressure maksimum yang terjadi pada mobil listrik Gaski body standar sebesar 83,2143 Pa, dan minimum sebesar -189,879 Pa. sedangkan pressure maksimum yang terjadi pada mobil listrik Gaski body modifikasi sebesar 83,2143 Pa. dan minimum pressure diperoleh -182,128 Pa. nilai Koefisient drag dari mobil listrik Gaski body standar sebesar 0,00474 sedangkan pada body modifikasi sebesar 0,00407. Dari hasil peneletian tersebut didapatkan bahwa setalah dilakukan modifikasi pada bodi mobil listrik gaski terdapat beberapa perubahan diantaranya terjadi peningkatan kecepatan laju aliran udara atau velocity udara meningkat 1,72 % sedangkan tekanan yang diterima oleh bodi setelah dimodifikasi menurun 1,39 % dan Nilai koefisien drag pada mobil listrik gaski dapat diturunkan 14,14 % setelah dimodifikasi.Kata Kunci : kata kunci : Aerodinamika, aliran fluida, bodi kendaraan, With the technological development of the more advanced form of the body of a vehicle is very calculated to achieve certain goals. For that purpose, Aerodynamic analysis was performed on the electric car body surface by using Ansys 14.5 software, which aims to find out the fluid flow and coefficient value of drag on electric car Gaski standard body and modification. After the analysis process is done, the result of the maximum air velocity of the standard body is 17,4324 m / s and body modification of 17,7321 m / s and the maximum pressure happened to electric car Gaski body standard equal to 83,2143 Pa, 189,879 Pa. While the maximum pressure that occurs on electric cars Gaski body modification of 83.2143 Pa. And the minimum pressure obtained -182.128 Pa. Coefficient value of drag from electric car Gaski body standard of 0,00474 while at body modification equal to 0,00407. From the results of the research was found that after modification on the body of electric car gaski there are some changes such as increase the speed of air flow rate or air velocity increased by 1.72%, while the pressure received by the body after modification decreased 1.39% and the value of drag coefficient on Electric car gaski can be derived 14.14% after modified.keyword : Keywords : Aerodynamic, fluid flow rate, Vehicle body.

scholarly journals Recognition Method of Drinking-driving Behaviors Based on PCA and RBF Neural Network

2018 ◽  
Vol 30 (4) ◽  
pp. 407-417
Author(s):  
Yifan Sun ◽  
Jinglei Zhang ◽  
Xiaoyuan Wang ◽  
Zhangu Wang ◽  
Jie Yu
Keyword(s):  
Neural Network ◽  
Traffic Safety ◽  
Road Traffic ◽  
Rbf Neural Network ◽  
Principal Component ◽  
Physiological Data ◽  
Recognition Model ◽  
Driving Behaviors ◽  
Model Based ◽  
Safety Research

Drinking-driving behaviors are important causes of road traffic injuries, which are serious threats to the lives and property of traffic participants. Therefore, reducing the occurrences of drinking-driving behaviors has become an important problem of traffic safety research. Forty-eight male drivers and six female drivers who could drink moderate alcohol were chosen as participants. The drivers’ physiological data, operation behavior data, car running data, and driving environment data were collected by designing various virtual traffic scenes and organizing drivers to conduct driving simulation experiments. The original variables were analyzed by the Principal Component Analysis (PCA), and seven principal components were extracted as the input vector of the Radial Basis Function (RBF) neural network. The principal component data was used to train and verify the RBF neural network. The Levenberg-Marquardt (LM) algorithm was chosen to train the parameters of the neural network and build a drinking-driving recognition model based on PCA and RBF  neural network to realize an accurate recognition of drinking-driving behaviors. The test results showed that the drinking-driving recognition model based on PCA and RBF neural network could identify drinking drivers accurately during driving process with a recognition accuracy of 92.01%, and the operation efficiency of the model was high. The research can provide useful reference for prevention and treatment of drinking and  driving and traffic safety maintenance.

scholarly journals Transport emissions and electric mobility in private transport in the Republic of Slovenia

2018 ◽  
Vol 12 (2) ◽  
pp. 98-103
Author(s):  
Simon Muhič ◽  
Mladen Bošnjaković
Keyword(s):  
Internal Combustion Engines ◽  
Energy Use ◽  
Electrical Energy ◽  
Road Transport ◽  
Primary Energy ◽  
Electric Mobility ◽  
Electric Cars ◽  
Research Problems ◽  
The Republic ◽  
Energy Chain

Since the ratification of the Kyoto Protocol more and more emphasis is laid on reducing greenhouse gas emissions. The article analyses the feasibility of introducing electric vehicles into traffic rather than vehicles with internal combustion engines. From standpoint of emission sources use of electricity for transport is analysed with stress on private cars and typical emissions from power sector by energy conversion in Slovenia. Results of research shows that electric car has a little more than twice better efficiency of the primary energy use, taking into account only efficiency in the energy chain. Electric mobility brings a more efficient use of energy in road transport with demand to reduce emission at power generation. So presented number can vary greatly, depending on the electrical energy source. In the present research problems connected with immediate initiation of the electric cars are not analysed.

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