Optimal Map-Based Mode Selection and Powertrain Control for a Multi-Mode Plug-in Hybrid Electric Vehicle

Abstract

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.