scholarly journals Fuzzy Classification Based Driving Distance Estimation for Electric Vehicles

2021 ◽  
Vol 18 (22) ◽  
pp. 32
Author(s):  
C Chellaswamy ◽  
T S Geetha ◽  
G Kannan ◽  
A Vanathi
Keyword(s):  
Power Consumption ◽  
Electric Vehicle ◽  
Dynamic Condition ◽  
Distance Estimation ◽  
Research Field ◽  
Fuzzy Classification ◽  
Battery Voltage ◽  
Full Load ◽  
Test Conditions ◽  
Vehicle Technology

Electric vehicle technology is an essential research field for improving full-electric vehicle (FEVs) capabilities. Different subsystem parameters in the FEVs should be monitored on a regular basis. The better these subsystems are used, the better the FEVs' performance, life, and range become. Nowadays, estimation of the state of charge (SoC) of the batteries and the driving distance is the area not been standardized sufficiently. In this study, a novel fuzzy classification method (FCM) is proposed to make the exact driving distance estimation of FEVs. The proposed FCM considers the consumed power and parameters of the battery under dynamic conditions. A test location was selected for the proposed FCM and tested under 3 different test conditions, namely, no-load, half-load and full-load conditions. Also, the performance of FCM is studied under several slope conditions, and the result shows that if the battery voltage decreases then the power consumed by the vehicle is improved in the uphill travel and the battery voltage is normal and the power consumption of the vehicle is decreased in the downhill drive. Finally, the drive distance of the proposed FCM is determined. HIGHLIGHTS Fuzzy classification based driving distance estimation for full-electric vehicle is proposed Parameters of battery and power consumption has been considered under dynamic condition CAN communication is established between different subsystems of electric vehicle Three test conditions (no-load, half load, and full load) have been considered

Manufacturing the Electric Vehicle: A Window of Technological Opportunity for Southern California

1995 ◽  
Vol 27 (6) ◽  
pp. 835-862 ◽  
Author(s):  
C O Quandt
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
The United States ◽  
Vehicle Design ◽  
Development Programs ◽  
Technological Opportunity ◽  
Public And Private ◽  
Vehicle Technology ◽  
Automobile Manufacturer ◽  
Vehicle Technologies

The California Air Resources Board has mandated that by 1998 2% of new vehicles sold in California must be zero emission, effectively, electric vehicles. This requirement is largely responsible for the electric vehicle development programs run by almost every global automobile manufacturer that does business in the United States. At present, no single electric vehicle technology, from battery type, to propulsion system, to vehicle design, represents a standard for a protoelectric vehicle industry. In this paper competing electric vehicle technologies are reviewed, leading public and private electric vehicle research programs worldwide are summarized, and the barriers faced by competing technological systems in terms of manufacturing and infrastructural requirements are examined.

scholarly journals Reducing Mobile Air Conditioner (MAC) Power Consumption Using Active Cabin-Air-Recirculation in A Plug-In Hybrid Electric Vehicle (PHEV)

2018 ◽  
Vol 9 (4) ◽  
pp. 51 ◽  
Author(s):  
Chengguo Li ◽  
Eli Brewer ◽  
Liem Pham ◽  
Heejung Jung
Keyword(s):  
Air Quality ◽  
Power Consumption ◽  
Electric Vehicle ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Driving Cycle ◽  
Total Power ◽  
Air Conditioner ◽  
Hybrid Electric ◽  
Cabin Air Quality

Air conditioner power consumption accounts for a large fraction of the total power used by hybrid and electric vehicles. This study examined the effects of three different cabin air ventilation settings on mobile air conditioner (MAC) power consumption, such as fresh mode with air conditioner on (ACF), fresh mode with air conditioner off (ACO), and air recirculation mode with air conditioner on (ACR). Tests were carried out for both indoor chassis dynamometer and on-road tests using a 2012 Toyota Prius plug-in hybrid electric vehicle. Real-time power consumption and fuel economy were calculated from On-Board Diagnostic-II (OBD-II) data and compared with results from the carbon balance method. MAC consumed 28.4% of the total vehicle power in ACR mode when tested with the Supplemental Federal Test Procedure (SFTP) SC03 driving cycle on the dynamometer, which was 6.1% less than in ACF mode. On the other hand, ACR and ACF mode did not show significant differences for the less aggressive on-road tests. This is likely due to the significantly lower driving loads experienced in the local driving route compared to the SC03 driving cycle. On-road and SC03 test results suggested that more aggressive driving tends to magnify the effects of the vehicle HVAC (heating, ventilation, and air conditioning) system settings. ACR conditions improved relative fuel economy (or vehicle energy efficiency) to that of ACO conditions by ~20% and ~8% compared to ACF conditions for SC03 and on-road tests, respectively. Furthermore, vehicle cabin air quality was measured and analyzed for the on-road tests. ACR conditions significantly reduced in-cabin particle concentrations, in terms of aerosol diffusion charger signal, by 92% compared to outside ambient conditions. These results indicate that cabin air recirculation is a promising method to improve vehicle fuel economy and improve cabin air quality.

scholarly journals Characteristics and Trends of Research on New Energy Vehicle Reliability Based on the Web of Science

2018 ◽  
Vol 10 (10) ◽  
pp. 3560 ◽  
Author(s):  
Xian Zhao ◽  
Siqi Wang ◽  
Xiaoyue Wang
Keyword(s):  
Electric Vehicle ◽  
Energy Demand ◽  
High Performance ◽  
High Energy ◽  
Research Field ◽  
High Energy Density ◽  
Future Research ◽  
Charging System ◽  
New Energy ◽  
New Energy Vehicle

In order to satisfy the increasing energy demand and deal with the environmental problem caused by the conventional energy vehicle; the new energy vehicle (NEV), especially the electric vehicle (EV), has attracted increasing attention and the corresponding research has developed rapidly in recent years. The electric vehicle requires a battery with high energy density and frequent charging. In order to ensure high performance of the electric vehicle; the reliability of its charging system is extremely important. In this paper; an overview of the research on electric vehicle charging system reliability from 1998 to 2017 is presented from a bibliometric perspective. This study provides a comprehensive analysis of the current research climate and the emerging trends from the following four aspects: basic characteristics of publication outputs; including annual publication outputs and document types; collaboration analysis of countries/territories; institutions and authors; co-citation analysis of cited authors and cited references; co-occurrence analysis of subjects and keywords. By using CiteSpace; the collaboration relationship; co-citation and co-occurrence networks are shown clearly. According to the analysis results; studies in this research field will keep developing rapidly in the near future and several future research directions are proposed in the conclusions.

scholarly journals Design considerations of a linear generator for a range extender application

2015 ◽  
Vol 64 (4) ◽  
pp. 581-592
Author(s):  
Un-Jae Seo ◽  
Björn Riemer ◽  
Rüdiger Appunn ◽  
Kay Hameyer
Keyword(s):  
Electric Vehicle ◽  
High Efficiency ◽  
Piston Engine ◽  
Free Piston ◽  
Full Load ◽  
Linear Generator ◽  
Design Considerations ◽  
Range Extender ◽  
Free Piston Engine ◽  
Linear Generators

Abstract The free piston linear generator is a new range extender concept for the application in a full electric vehicle. The free piston engine driven linear generators can achieve high efficiency at part and full load which is suitable for the range extender application. This paper presents requirements for designing a linear generator deduced from a basic analysis of a free piston linear generator.

Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot

Energy ◽  
2018 ◽  
Vol 148 ◽  
pp. 148-158 ◽  
Author(s):  
Christos S. Ioakimidis ◽  
Dimitrios Thomas ◽  
Pawel Rycerski ◽  
Konstantinos N. Genikomsakis
Keyword(s):  
Power Consumption ◽  
Electric Vehicle ◽  
Residential Buildings ◽  
Peak Shaving ◽  
Parking Lot ◽  
Consumption Profile
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