INTELLIGENT ENERGY MANAGEMENT AGENT FOR A PARALLEL HYBRID VEHICLE - PART II: TORQUE DISTRIBUTION, CHARGE SUSTENANCE STRATEGIES, AND PERFORMANCE RESULTS

This paper is part II of a two-part paper on the development of an intelligent energy management agent (IEMA) for parallel electric hybrid vehicles (HEVs). Energy management strategies for torque distribution and charge sustenance task are determined and implemented. In order to make intelligent decisions on the power split function, driving situation awareness-based fuzzy rule bases are developed. Adequate reserves of energy in the storage device for supporting an extended range of driving are maintained by developing a charge sustenance strategy. The paper describes a simulation study for the proposed IEMA and performance results are assessed in order to evaluate the viability of the IEMA as both a potential solution as well as an extendable framework for energy management for parallel HEVs.

Language

  • English

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Filing Info

  • Accession Number: 01005586
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: BTRIS, TRIS
  • Created Date: Oct 19 2005 2:03PM