Your Selections

Vehicle performance
Show Only

Collections

File Formats

Content Types

Dates

Sectors

Topics

Authors

Publishers

Affiliations

Committees

Events

Magazine

new

Experimental Investigation of Electric Vehicle Performance and Energy Consumption on Chassis Dynamometer Using Drive Cycle Analysis

SAE International Journal of Sustainable Transportation, Energy, Environment, & Policy

CSIR-Indian Institute of Petroleum, India-Gananath Doulat Thakre
Indian Institute of Petroleum CSIR, India-Robindro Lairenlakpam
  • Journal Article
  • 13-01-01-0002
Published 2019-12-02 by SAE International in United States
This article reports an experimental study carried out to investigate the vehicle performance and energy consumption (EC) of an electric vehicle (EV) on three different driving cycles using drive cycle analysis. The driving cycles are the Indian Driving Cycle (IDC), Modified Indian Driving Cycle (MIDC) and Worldwide harmonized Light vehicles Test Cycle (WLTC). A new prototype electric powertrain was developed using an indigenous three-phase induction motor (3PIM), Li-ion battery (LiB) pack, vector motor controller, and newly developed mechanical parts. In this research work, a pollution-causing gasoline car (Maruti Zen) was converted into an EV by using the new powertrain. The EV conversion vehicle was used as the test vehicle. After the removal of the Internal Combustion Engine (ICE) the new powertrain was integrated with the vehicle’s gearbox (GB) system which was configured on a single motor, fixed gear configuration having a gear ratio of 1.28:1. The EV performance tests were carried out on the chassis dynamometer that followed the driving cycles. The maximum speed test showed a top speed of 64 km/h for the EV.…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

Ride-Comfort Analysis for Commercial Truck Using MATLAB Simulink

ARAI Academy-Sarnab Debnath
Automotive Research Association of India-Mohammad Rafiq Agrewale
  • Technical Paper
  • 2019-28-2428
Published 2019-11-21 by SAE International in United States
Ride Comfort forms a core design aspect for suspension and is to be considered as primary requirement for vehicle performance in terms of drivability and uptime of passenger. Maintaining a balance between ride comfort and handling poses a major challenge to finalize the suspension specifications. The objective of this project it to perform ride- comfort analysis for a commercial truck using MATLAB Simulink. First, benchmarking was carried out on a 4x2 commercial truck and the physical parameters were obtained. Further, a mathematical model is developed using MATLAB Simulink R2015a and acceleration- time data is collected. An experimentation was carried out on the truck at speeds of 20 kmph, 30 kmph, 40 kmph and 50 kmph over a single hump to obtain actual acceleration time domain data. The model is then correlated with actual test over a single hump. This is followed by running the vehicle on Class A, B & C road profiles to account for random vibrations. Similarly, a simulation is done on MATLAB Simulink and a correlation is established between simulated and actual…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

Review of architecture and control strategies of Hybrid Electric and Fuel Cell Technology for Automotive Application

ARAI Academy-Rakesh Vilasrao Mulik
VIT Universtity-Senthil Kumar Senthilkumar
  • Technical Paper
  • 2019-28-2509
Published 2019-11-21 by SAE International in United States
Well-functioning and efficient transport sector is a requirement for economic and social development in the 21st century. Another side of this transport sector is responsible for a many negative social and environmental effects, like a significant contribution to global greenhouse gas emissions, air pollution and reduction in fossil fuels resources. It is need of time to shift to a greener and low carbon economy and for that it is necessary to improve the ways in which energy is produced and used. Other energy sources like battery, fuel cells (FC), supercapacitors (SC) and photovoltaic cells (PV) are the alternative solutions to the conventional internal combustion engines (ICE) for automobiles. Development of Hybrid electric vehicles (HEV) along with other cleaner vehicle technologies like Fuel cell electric vehicles (FCV), battery electric vehicles are continuously increasing in the list of green energy options. This paper presents a comprehensive review on various control strategies and Energy Management Systems (EMS) proposed and developed for HEVs. This paper revisits architecture of HEVs and different types of HEVs. An optimum control strategy for…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

Effect of Gasoline-Ethanol Blends on GDI Engine to Reduce Cost of Vehicle Ownership

Mahindra & Mahindra, Ltd.-Kartick Ramakrishnan, Padmavathi Ramadandi, Karthikeyan N Krishnan
  • Technical Paper
  • 2019-28-2379
Published 2019-11-21 by SAE International in United States
A major challenge for combustion engine development is to optimize the engine for improved fuel economy, reduce greenhouse gases. Stringent CAFÉ and emission norms require the customer to pay higher capital on vehicles. To offset the cost of ownership- cheaper and alternative energy sources are being explored. Ethanol blend with regular Gasoline, and CNG are such alternative fuels. Reducing the consumption of Gasoline also helps India’s dependence on import of crude oil.The study was carried on turbo-charged gasoline direct injection engine. The effect of ethanol on engine and vehicle performance is estimated and simulated numerically. The work is split into three stages: first the base 1D engine performance model was calibrated to match the experimental data. In parallel, vehicle level Simulink model was built and calibrated to match the NEDC cycle performance. Second, the thermal efficiency of the ethanol blend is calculated as a linear function of theoretical Otto cycle efficiency. The engine performance for varying compression ratio & ethanol gasoline blend is studied for vehicle level using a MATLAB code. Third, 1D code was…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

A DIGITALIZED VALIDATION APPROACH FOR REAL TIME AND REMOTE MONITORING OF AN OFF HIGHWAY VEHICLE PERFORMANCE

Research & Devlopment Institute-Jagannathan Vasu
  • Technical Paper
  • 2019-28-2531
Published 2019-11-21 by SAE International in United States
A DIGITALIZED VALIDATION APPROACH FOR REAL TIME AND REMOTE MONITORING OF AN OFF-HIGHWAY VEHICLE PERFORMANCE V.Jagannathan 1.a* , B.Jaiganesh 2.b & S.Sudarsanam 3.c Mahindra & Mahindra Limited, Mahindra Research Valley, Mahindra World City, Anjur PO, TN, India Corresponding author Email- V.JAGANNATHAN@mahindra.com Validation of agricultural tractors is necessary to ensure that these machines perform to their expected potential and are aptly matched with implements. Testing these machineries in real-time while performing activities in the field allows a bigger picture to be seen; the performance data incorporates the effects of many external factors (Soil, Climate etc.). Tractor Performance data apprehending is the vital part of validation. Data acquisition of key performance parameters during field validation in different application/different countries is of utmost importance. Most prevailing methodology in Tractor validation is by capturing the performance parameters such as Fuel consumption, Area coverage, Wheel slip, Engine rpm drop, implement depth of cut, Tractor speed etc. in manual and physical way. These methodologies of capturing performance parameters are tedious, time consuming, involves manpower, not so secured or safe. The readings…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

An Energy Harvesting E-SHOCK for Future Mobility

Schaeffler Group-Prajod Ayyappath
Schaeffler India, Ltd.-PS Satyanarayana, Kalyan Bhairi
  • Technical Paper
  • 2019-28-2506
Published 2019-11-21 by SAE International in United States
India has emerged as the world’s biggest market for Two-wheelers and Four-wheeler. Besides rising incomes and growing infrastructure in all areas, one big reason for the spurt in sales has been ease of zipping in and out of chaotic city traffic along with road irregularities and potholes. Furthermore, the efficiency increase in the Shock absorber within the vehicle have high demands to use of regenerative solutions, in which e-system can be employed as to recover part of the energy otherwise dissipated in form of heat. The Smart e-Shock can charge battery and illuminate accessories of vehicle. Also, the e-shock can provide the various damping characteristics by changing the Electric load on to it to make system as Semi-Active Suspension. This Smart e-Shock system is based on unique and patented concept of constraining the reciprocating motion of the shock absorber in to a single sense of rotation of e-system and the energy is recuperated and given to the battery from the e-system. This retrofittable design can provide better vehicle dynamics-with various driving modes (Comfort, Normal, Sport,…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

IOT based Battery Diagnostics for Battery swapping station.

College of Engineering Pune-Rushikesh Subhashchandra Kshirsagar, Dipali Dange
  • Technical Paper
  • 2019-28-2441
Published 2019-11-21 by SAE International in United States
An electric vehicle is significantly promoted by government and industry to reduce carbon footprint and effective energy management. IC engines get replaced by the battery and diagnosis parameters of engine also need to replace with battery parameters. Main objective is to provide analysis of battery to battery swapping stations. State of charge and state of health plays important role in battery management system and vehicle performance. State of health estimation has many techniques, but large equipment needs for it and become costlier and bulkier. Batteries internal resistance increases as it gets degraded, proposed technique based on adaptive method which didn’t need any extra hardware, this technique identifies the health based on degraded capacity. Cloud platform is used to store the data and process it and display to users and swapping station. Status updating unit located on battery is connected to cloud and it gives complete analysis of battery to vehicle users. Analysis of battery parameter can be observed at battery swapping station with corresponding ID on a cloud server. This system proposed complete analysis of…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

Steering and Handling Performance Optimization Through Correlation of Objective - Subjective Parameters and Multi-body Dynamics Simulation

Mahindra & Mahindra, Ltd.-Deva Ranjit Kumar Rajarajan, Vinothprakash Rajasekar, Shraddhesh Rasal, Baskar Anthonysamy, Visweswara Lenka
  • Technical Paper
  • 2019-28-2412
Published 2019-11-21 by SAE International in United States
RESEARCH OBJECTIVE: Automobile Industry has driven through the ages with continuous development with innovative technologies and frugal engineering. Expectation of customer is also increasing through the generations. To meet the customer demand for performance and be best in market, OEM needs to deliver best performance of vehicle with cost effective and short development process. Steering and Handling of vehicle is one of major customer touchpoints and needs to be tuned to achieve various conflicting requirements. The objective of this research is to optimize the steering and handling using correlation between three major methods of evaluation. METHODOLOGY: Methodology for optimization of steering and handling performance using correlation between subjective evaluation, objective measurement and multi-body-dynamic simulation is presented. In first phase, correlation of objective steering & handling parameters is established with subjective evaluation, based on evaluation of various vehicles in SUV segment. The objective parameters which give highest correlation are selected for target setting process. In second phase, Multi-body dynamic(MBD) model is developed in MSC ADAMS and is validated through physical kinematic and compliance data. Components such…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

Qualifying Aftermarket Two-Component Structural Foams

Motor Vehicle Council
  • Ground Vehicle Standard
  • J2621_201910
  • Current
Published 2019-10-28 by SAE International in United States
This recommended practice provides a guideline for qualifying automotive aftermarket, two-component structural foams, and defines a classification system for such foams.
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Parking Brake Drawbar Pull Test Procedure - Truck and Bus

Truck and Bus Brake Systems Committee
  • Ground Vehicle Standard
  • J1729_201910
  • Current
Published 2019-10-17 by SAE International in United States
This SAE Recommended Practice provides a test method and instructions for measuring performance of parking brakes on air- or hydraulic-braked vehicles equipped with in-wheel or drive-line parking brakes. This procedure applies to truck-tractors, trailers, trucks, and buses.
This content contains downloadable datasets
Annotation ability available