Intelligent energy management agent for a parallel hybrid vehicle - Part II: Torque distribution, charge sustenance strategies, and performance results Academic Article

abstract

• This paper represents the second part of a two-part paper on development of an intelligent energy management agent (IEMA) for parallel hybrid vehicles. In this part, energy management strategies for the torque distribution and charge sustenance tasks are established and implemented. Driving situation awareness-based fuzzy rule bases are developed to make intelligent decisions on the power split function. A charge sustenance strategy is developed in parallel to maintain adequate reserves of energy in the storage device for supporting an extended range of driving. Simulation study is conducted for the proposed IEMA and performance results are analyzed to evaluate its viability as a possible solution to and an extendable framework for energy management for parallel hybrid electric vehicles. 2005 IEEE.

authors

• Langari, Gholamreza

published proceedings

• IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

altmetric score

• 3

author list (cited authors)

• Won, J. S., & Langari, R.

citation count

• 139

complete list of authors

• Won, JS||Langari, R

publication date

• May 2005

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Vehicular Technology  Journal

keywords

• Charge Sustenance
• Drive Cycle
• Energy Management
• Fuzzy Rule,base
• Hybrid Vehicle
• Torque Distribution

Digital Object Identifier (DOI)

• 10.1109/TVT.2005.844683

start page

• 935

end page

• 953

volume

• 54

issue

• 3

URL

• http://dx.doi.org/10.1109/tvt.2005.844683

user-defined tag

• 7 Affordable and Clean Energy