Optimal Map-Based Mode Selection and Powertrain Control for a Multi-Mode Plug-in Hybrid Electric Vehicle
Document Type
Conference Proceeding
Publication Date
8-27-2018
Abstract
© 2018 IEEE. This paper presents an optimal map-based mode selection and powertrain control for a multi-mode plug-in hybrid electric vehicle. The best mode map and best operation maps for powertrain components are generated using Equivalent Consumption Minimization Strategy (ECMS) to minimize equivalent fuel cost at each operating point. The performance of optimal map-based control is compared with production vehicle rule-based control using experimental vehicle data from Argonne National Laboratory (ANL) chassis dynamometer testing.
Publication Title
2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018
Recommended Citation
Wang, H.,
Sacheva, K.,
Tripp, J.,
Chen, B.,
Robinette, D.,
&
Shahbakhti, M.
(2018).
Optimal Map-Based Mode Selection and Powertrain Control for a Multi-Mode Plug-in Hybrid Electric Vehicle.
2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018.
http://doi.org/10.1109/MESA.2018.8449157
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10779