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Trip Based Optimal Power Management of Plug-in Hybrid Electric Vehicle with Advanced Traffic Modeling
Journal Article
2008-01-1316
ISSN: 1946-3936, e-ISSN: 1946-3944
Sector:
Citation:
Gong, Q., Li, Y., and Peng, Z., "Trip Based Optimal Power Management of Plug-in Hybrid Electric Vehicle with Advanced Traffic Modeling," SAE Int. J. Engines 1(1):861-872, 2009, https://doi.org/10.4271/2008-01-1316.
Language:
English
Abstract:
The plug-in hybrid electric vehicles (PHEV), utilizing more battery power, has become a next-generation HEV with great promise of higher fuel economy. A nearly global optimization based charge-depletion control strategy is developed for PHEV power management by using the Intelligent Transportation Systems (ITS). Trip model is obtained via GPS, GIS, real-time and historical traffic flow data and advanced traffic flow modeling. The Gipps car-following model [42] is used for the local road trip modeling along with the synchronization of the traffic signal sequences. The gas-kinetic model [53] was used for the freeway trip modeling. These trip modeling schemes are validated with simulation.