Journal
VEHICLES
Volume 3, Issue 1, Pages 20-32Publisher
MDPI
DOI: 10.3390/vehicles3010002
Keywords
hybrid electric vehicles; powertrain design; powertrain configurations; powertrain components; fuel economy optimization; vehicle performance optimization
Funding
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- Collaborative Research and Development Grants-Optimizing Hybrid Electric Powertrains for Connected and Automated Vehicles (CAV) (UWAFT-ECOCAR 4-with General Motors of Canada) [CRDPJ 537104-18]
Ask authors/readers for more resources
The emissions from conventional vehicles due to the consumption of fossil fuels have been a major cause of climate change, while hybrid electric vehicles offer a cleaner solution. This study examined various hybrid powertrain designs through simulations and identified a P4 hybrid powertrain that meets the performance criteria of the EcoCAR Mobility Challenge competition.
Emissions from the transportation sector due to the consumption of fossil fuels by conventional vehicles have been a major cause of climate change. Hybrid electric vehicles (HEVs) are a cleaner solution to reduce the emissions caused by transportation, and well-designed HEVs can also outperform conventional vehicles. This study examines various powertrain configurations and components to design a hybrid powertrain that can satisfy the performance criteria given by the EcoCAR Mobility Challenge competition. These criteria include acceleration, braking, driving range, fuel economy, and emissions. A total of five different designs were investigated using MATLAB/Simulink simulations to obtain the necessary performance metrics. Only one powertrain design was found to satisfy all the performance targets. This design is a P4 hybrid powertrain consisting of a 2.5 L engine from General Motors, a 150 kW electric motor with an electronic drive unit (EDU) from American Axle Manufacturing, and a 133 kW battery pack from Hybrid Design Services.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available