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Design and Assessment of an Electric Vehicle Powertrain Model Based on Real-World Driving and Charging Cycles
- Source :
- IEEE Transactions on Vehicular Technology. 68:1178-1187
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- In this paper, an advanced analytical model for an electric vehicle (EV) powertrain has been developed to illustrate the vehicular dynamics by combining electrical and mechanical models in the analysis. This study is based on a Nissan Leaf EV. In the electrical system, the powertrain has various components including a battery pack, a battery management system, a dc/dc converter, a dc/ac inverter, a permanent magnet synchronous motor, and a control system. In the mechanical system, it consists of power transmissions, axial shaft, and vehicle wheels. Furthermore, the driving performance of the Nissan Leaf is studied through the real-world driving tests and simulation tests in MATLAB/Simulink. In the analytical model, the vehicular dynamics is evaluated against changes in the vehicle velocity and acceleration, state of charge of the battery, and the motor power. Finally, a number of EVs involved in the power dispatch is studied. The greenhouse gas emissions of the EV are analyzed according to various energy power and driving features, and compared with the conventional internal combustion engine vehicle. In this case, Nissan Leaf is a pure EV. For a given drive cycle, Nissan Leaf can reduce CO2 emissions by 70%, depending on the way electricity is generated and duty cycles.
- Subjects :
- Battery (electricity)
business.product_category
Computer Networks and Communications
Computer science
Powertrain
Aerospace Engineering
02 engineering and technology
Automotive engineering
Battery management systems
Electric power system
0203 mechanical engineering
Electric vehicle
Electrical and Electronic Engineering
business.industry
020302 automobile design & engineering
Battery pack
Mechanical system
State of charge
Internal combustion engine
Control system
Greenhouse gas
Automotive Engineering
Inverter
Electricity
business
Driving cycle
Subjects
Details
- ISSN :
- 19399359 and 00189545
- Volume :
- 68
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Vehicular Technology
- Accession number :
- edsair.doi.dedup.....e8a129bfbbba300c77e75462c7e3b79f