Specification of a P3 Parallel Hybrid Electric Vehicle Architecture for the EcoCAR 3 Competition 2016-01-1245
The Georgia Tech EcoCAR 3 team’s selection of a parallel hybrid electric vehicle (HEV) architecture for the EcoCAR 3 competition is presented in detail, with a focus on the team’s modeling and simulation efforts and how they informed the team’s architecture selection and subsequent component decisions. EcoCAR 3, sponsored by the United States Department of Energy and General Motors, is the latest in a series of Advanced Vehicle Technology Competitions (AVTCs) and features 16 universities from the United States and Canada competing to transform the 2016 Chevrolet Camaro into a hybrid electric American performance vehicle. Team vehicles will be scored on performance, emissions, fuel economy, consumer acceptability, and more over the course of the four-year competition. During the first year, the Georgia Tech team considered numerous component combinations and HEV architectures, including series RWD and AWD, parallel, and power-split. Using model-based design to predict performance, fuel economy, and emissions metrics, as discussed in detail, the team iteratively decided upon a post-transmission parallel architecture with packaging, cost, and complexity in mind. Due to its modularity and packaging freedom, the architecture chosen has potential for applications in cost-effective hybridization of RWD vehicles, though best performance from the electric machine is limited by maximum speed considerations due to its post-transmission location and single-speed coupling to the drivetrain. The proposed vehicle is predicted to have a fuel economy of 36 MPGge, 18 miles of Charge Depletion Mode driving (in which the internal combustion engine only provides propulsion for high acceleration demands), and an Initial Vehicle Movement-to-60 mph acceleration time of 7.5 seconds.
Citation: Cox, J. and Leamy, M., "Specification of a P3 Parallel Hybrid Electric Vehicle Architecture for the EcoCAR 3 Competition," SAE Technical Paper 2016-01-1245, 2016, https://doi.org/10.4271/2016-01-1245. Download Citation
Author(s):
Jonathan D. Cox, Michael Leamy
Affiliated:
Georgia Institute of Technology
Pages: 12
Event:
SAE 2016 World Congress and Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Hybrid electric vehicles
Fuel economy
Simulation and modeling
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