scholarly journals Ergonomic design of electric vehicle instrument panel: a study case on Universitas Indonesia’s national electric car

Author(s):  
Erlinda Muslim ◽  
Boy Nurtjahyo Moch ◽  
Reshinta A Lestari ◽  
Ghassani Shabrina ◽  
Rinda Ramardhiani
Author(s):  
Giuseppe Rattighieri ◽  
Michele Trancossi ◽  
Nicola Dorigo Salomon ◽  
Dean Vucinic

This paper presents the EVITA electric car. EVITA is the acronym of Electric Vehicle Improved by Three-phase Asynchronous cooled motor. It is a research project developed jointly by RGEngineering and University of Modena and Reggio Emilia. It aims to produce a novel electric power train with the capability of solving three fundamental problems of today commercial electric vehicles: 1. direct torque dependency of the rotation speed, and its reduction at high speed regimes; 2. electric motors performances reduction due to the overheating effects under heavy load conditions; 3. acclimatization of the car cabin interior in winter times.


2014 ◽  
Vol 619 ◽  
pp. 183-187 ◽  
Author(s):  
Thanyarat Singhanart ◽  
Thammongkol Sangmanacharoen ◽  
Wasin Tocharoen ◽  
Phongpakkan Danwibun

The objective of this paper is to design, analyze, and test the space frame for electric vehicle with comparison to the engine type. Therefore, in order to design the electric vehicle formula, the same requirements with some changes are considered. The space frame is designed to suit with the electric vehicle and then finite element analysis is used to determine the torsional stiffness of the frame which is verified by the torsional test. Initially, the required torsional stiffness for the electric car is 1350 Nm/deg and the mass is set to be not more than 40 kg. The numerical results and the experimental results for torsional stiffness are 960 Nm/deg and 1218 Nm/deg, respectively. Therefore, the torsional stiffness is about 25% under-predicted; anyway it can be used to predict the torsional stiffness of the frame. Due to some changes must be performed, therefore the modified frame is re-analyzed with the torsional stiffness of 1389 Nm/deg which is less than the revised required car’s torsional stiffness of 1404 Nm/deg. Anyway, the torsional stiffness of frame with battery’s case can meet the requirement. The mass of the modified frame is 50 kg which is larger than required mass due to selected sizes of steel tubes. In conclusion, the space frame can be designed and the mass can be improved further by reducing the sizes.


2012 ◽  
Vol 260-261 ◽  
pp. 353-356 ◽  
Author(s):  
Zhi Zhang ◽  
Min Rui Guo ◽  
Pei Zhang

Modeling and simulation technology is the key technical one of researching and developing pure electric car. Firstly analyzes system structure of the simulation software ADVISOR (Advanced Vehicle Simulator), use ADVISOR to model and simulate the dynamic performance of the pure electric vehicle. And then take a pure electric vehicle for example, mainly simulate the dynamic performance in the way of the typical working conditions CYC_UDDS, and compare dynamic performance simulation results under two different transmission, optimalize dynamic performance of pure electric vehicle.


Author(s):  
H. Soewardi ◽  
◽  
J. A. A. N. Nindiyanti

Author(s):  
Jeeva C ◽  
Ganesh K S ◽  
Gowtham A ◽  
Barathwaaj D

The continuous development and evolution of electric vehicle causes the electric car manufacturers to face new challenges. Now, the lithium-ion batteries are widely used in electric vehicles which has high current discharge rate. During overloading, electric motor draws large amount of current which leads to degradation in battery life and overheating. Most of the time, the user is unaware of vehicle loading. This paper discusses the method to overcome this issue by estimating vehicle load on real time and alerting the use of vehicle. Using load cell to measure the data and send the data to the cloud by means of Amazon Web Services (AWS). When the vehicle is overloaded, a notification sent to the user. Realtime loading data is shown on dashboard. Using evolving Technologies like IoT makes easy to storing the data on cloud. This enables service engineers to evaluate and improve vehicle, based on working conditions for future needs. This can also be used for future needs like reliable range prediction of electric vehicle and autonomous vehicle driving system.


Author(s):  
Ana Carolina Kulik ◽  
Josiane Gonçalves da Silva ◽  
Jânio Denis Gabriel ◽  
Édwin Augusto Tonolo ◽  
Jair Urbanetz Junior

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2798 ◽  
Author(s):  
Yuri B. Shtessel ◽  
Malek Ghanes ◽  
Roshini S. Ashok

Control of a perturbed electric power system comprised of a hydrogen fuel cell (HFC), boost and boost/buck DC–DC power converters, and the ultra-capacitor (UC) is considered within an electric vehicle application. A relative degree approach was applied to control the servomotor speed, which is the main controllable load of the electric car. This control is achieved in the presence of the torque disturbances via directly controlling the armature voltage. The direct voltage control was accomplished by controlling the HFC voltage and the UC current in the presence of the model uncertainties. Controlling the HFC and UC current based on the power balance approach eliminated the non-minimum phase property of the DC–DC boost converter. Conventional first order sliding mode controllers (1-SMC) were employed to control the output voltage of the DC–DC boost power converter and the load current of the UC. The current in HFC and the servomotor speed were controlled by the adaptive-gain second order SMC (2-ASMC). The efficiency and robustness of the HFC/UC-based electric power systems controlled by 1-SMC and 2-ASMC were confirmed on a case study of electric car speed control via computer simulations.


2021 ◽  
Vol 2107 (1) ◽  
pp. 012029
Author(s):  
Hasri Haris ◽  
Wan Khairunizam ◽  
Hafiz Halin ◽  
Wan Azani Mustafa ◽  
Shahriman AB ◽  
...  

Abstract Depending on an intellectual level and experience, each human may make judgments and respond to situations autonomously. The driver is alerted and knows what to do in a specific circumstance while driving. This research aims to see how individuals act when driving an electric car down a predetermined path. An electric buggy car is built with equipment and sensors called an Electric Vehicle (EV) in experiments. Individuals who meet specified requirements are chosen to analyse their driving behaviours, and data is collected using various sensors. The speed, steering wheel angle, heading, and position of the buggy car are recorded throughout the human navigation trials. After the tests, data on human behaviour while driving straight and turning left and right are collected.


2021 ◽  
Vol 14 ◽  
pp. 177-186
Author(s):  
Haifeng Jin ◽  
Xiyuan Mei ◽  
Zhaolei Sun

Electric vehicles are the future. All countries around the world are promoting the construction of new energy vehicles. China is one of the big countries that even set a goal to achieve 100% electric car in 2050. Recently, China’s new energy vehicles appear spurt growth phenomenon, and countless manufacturers frantically expand their turf into the electric vehicle competition. Among many manufacturers, BYD and Tesla, as the two major brands in China, are in fierce competition. In this paper, consumers’ purchasing preferences are investigated through a questionnaire survey, and the current product characteristics of different new energy vehicle companies are also analyzed. Besides, the advantages and disadvantages of Tesla and BYD are mainly analyzed by comparing the marketing strategies. This paper aims to find the development direction and marketing strategies of future new energy vehicles.


Author(s):  
SongAn Zhang ◽  
Qing Zhou ◽  
Yong Xia

For vehicle frontal crash, the front wheels may affect impact load transfer and load path, and to some extent, the tire deformation may contribute to crash energy absorption. The effects would be especially prominent when it comes to the cases of micro car, offset crash and electric car. For a micro or small car, the front compartment space is small and the wheels are relatively large, and so the wheel’s role on transferring impact load to the A-pillar and the rocker is more significant and the energy absorbed by the tire deformation contributes to a relatively large portion. Moreover, in the case of an offset or small overlap collision, the wheel impacted is apparently engaged at a deeper level than that in full frontal crash. For an electric car when its electric motor is positioned in the rear of the car, the front compartment does not have space-taking engine and so the structural deformation and space use are more affected by the wheels. In this paper, by finite element simulations using a small lightweight electric vehicle (SLEV) model, the above-mentioned aspects are studied. The model has no complex components, and therefore is suitable for parametric study. The influence of the front wheels on the impact load transfer and the energy absorbed by the tire deformation are analyzed. Also front crash results of SLEV are compared with Yaris to show how front wheels affect load path in crash. The results show that the influence of wheels on frontal crash response of small lightweight electric vehicles should not be ignored and should be an integral part of crash safety design.


Sign in / Sign up

Export Citation Format

Share Document