Performance Evaluation Of Electric Vehicles Research Articles

Raspberry Pi-Based Low-Cost System for Electrical Parameters Gathering and Analysis for Performance Evaluation of Electric Vehicles

In recent years, both the manufacture and sales of electric vehicles have significantly grown compared to traditional vehicles. This growth has favored the creation of tools that measure and evaluate this class of vehicles’ mechanical and electrical operation quickly, simply, and efficiently. Nevertheless, the measurement of electric-vehicle parameters can be a challenge due to the fact that the required DAQ equipment is expensive and thus of limited availability. This work describes a low-cost data acquisition system to simplify and reduce the cost of measuring the current and voltage parameters of electric vehicles. The proposed system is based on a Raspberry PI 3b+ microcomputer and it was evaluated during different driving cycles. The results were compared with the data obtained using a professional Dewesoft Sirius system for validation. The Raspberry Pi-based low-cost system achieved comparable performance to commercial systems (with a measurement error of less than 1%), despite having a lower sampling rate. Furthermore, unlike other systems, the proposed platform is an easy-to-set universal solution that can store the measured data, display them in real-time, graph them, and export the information for analysis with other specialized statistical tools. The main contribution of this work lies in the fact that the proposed low-cost DAQ system can be easily cloned, and the components cost of the prototype is about 10 times less than the price of the commercial systems.

Comparative performance of electric vehicles using evaluation of mixed data

The electric vehicle (EV) technology has been getting momentum due to rapid depletion of fossil fuels and also in taking care of environment. Many manufacturers are investing a lot in electric vehicles for a particular outcome coming from it which can show a sign for replacement of conventional I.C engines. They are taking interest about the customer findings in a car. There are various factors which affect the performance of an electric vehicle such as battery capacity, charging time, price, driving range etc. As we know there are many electric vehicle models that are present in market with different combinations and this study is based on the performance evaluation of electric vehicles using multiple criteria decision making tool from customer point of view. This study highlights the best electric vehicle model in Asian market so that findings of an EV buyer can be fulfilled. Fuzzy analytic hierarchy process has been used to determine criteria weight whereas evaluation of mixed data has been used for performance evaluation and ranking. According to the study BYD E6 becomes the best electric vehicle model in Asian market.

Urban driving cycle for performance evaluation of electric vehicles

Nowadays, a number of environmental issues have seriously come to the fore. For this reason, the R & D spending on eco-friendly vehicles that use electric power has been gradually increasing. In general, fuel economy and pollutant emissions of both conventional and eco-friendly vehicles are measured through chassis dynamometer tests that are performed on a variety of driving cycles before an actual driving test. There are a number of driving cycles that have been developed for the for performance evaluation of conventional vehicles. However, there is a lack of research into driving cycle for EV. Because large differences exist between the drive system and driving charateristics of EV and that of CV, a study on driving cycle for EV should be conducted. In this study, the necessity of an urban driving cycle for the performance evaluation of electric vehicles is confirmed by developing the driving cycle. First, the Gwacheon-city Urban Driving Cycle for Electric Vehicles (GUDC-EV) is developed by using driving data obtained through actual driving experiments and statistical analysis. Second, GUDC-EV is verified by constructing EV simulators and performing simulations that use the actual driving data. The simulation results are then compared against existing urban driving cycles, such as FTP-72, NEDC, and Japan 10–15. These results confirm that GUDC-EV can be used as an urban driving cycle to evaluate the performance of electric vehicles and validate the necessity of development of the driving cycle for electric vehicles.

전기 자동차 성능 평가를 위한 도심 주행 모드 개발 Part I : 주행 모드 개발

Recently, due to various environmental problems such as global warming, increasing of international oil prices and exhaustion of resource, a paradigm of world automobile market is rapidly changing from vehicles using internal combustion engine to eco-friendly vehicles using electric power such as EV (Electric Vehicle), HEV (Hybrid Electric Vehicle), PHEV (Plug-in Hybrid electric Vehicle) and FCEV (Fuel Cell Electric Vehicle). There are many driving cycles for performance evaluation of conventional vehicles. However there is a lack of researches on driving cycle for EV. This study is composed of part 1 and part 2. In this paper part 1, in order to develop urban driving cycle for performance evaluation of electric vehicles, Gwacheon-city patrol route of police patrol car was selected. Actual driving test was performed using EV. The driving data such as velocity, time, GPS information etc. were recorded. GUDC-EV (Gwacheon-city Urban Driving Cycle for Electric Vehicles) including road gradient was developed through the results of analyzing recorded data. Reliability of the driving cycle development method was substantiated through comparison of electricity performance. In the second part of this study, the developed driving cycle was compared to simulation result of the existing urban driving cycle. Verification of the developed driving cycle for EV performance evaluation was described.

Performance Evaluation of Electric Vehicles in Macau

Being a city with small geographical size limiting the travel range of vehicles, Macau has great potential for implementation of electric vehicles (EVs). With an urbanized city and limited land space, Macau has been faced with problems of road congestion due to rapid growth in car population. Air pollution is also another important concern. EVs provide low emission urban transportation. Researchers and engineers have concentrated on the improvement of EV performance through the advances in batteries, motors, converters, controllers and relevant auxiliaries, with enormous successes. Now, it comes to the stage of commercialization! Before adapting EVs, it is important to understand their performances in Macau. Several projects were launched to investigate the performance of EV, specifically for sub-tropical environment of Macau. Due to the high temperature and humidity, performance of EVs operated in Macau was yet to be understood. Previous experimental studies conducted in the US, Europe or Japan might not reflect the actual local real-road driving conditions. This paper aims to ana lyze the performance of EVs and compared with internal combustion engine vehicles (ICEVs) and hybrid electric vehicles (HEVs). Viability of EVs will be simulated using both Federal Urban Driving Schedule (FUDS) and Macau Driving Cycle (MDC).

Performance Evaluation of Electric Vehicle with 2-Speed I-AMT

For a novel electric vehicle equipped with 2-speed Inverse Automated Manual Transmission (I-AMT), optimal design of the gear ratios is carried out using dynamic programming (DP) under vehicle dynamic constraints. Given multiple driving cycles, the design target is to make the electric vehicle obtain the best energy consumption economy. After the gear ratios are determined, the performance of the 2-speed electric vehicle is compared with the same vehicle with a single-speed gear box, and it is shown that the 2-speed transmission has much better performacne in terms of acceleration time, maximum speed and energy economy.