articleOct 4, 2006Closed access

A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management

Ohio University · Renault (France) · +1 more institution

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Abstract

Hybrid Electric Vehicles (HEV) improvements in fuel economy and emissions strongly depend on the energy management strategy. In this paper a new control strategy called Adaptive Equivalent Consumption Minimization Strategy (A-ECMS) is presented. This real-time energy management for HEV is obtained adding to the ECMS framework an on-the-fly algorithm for the estimation of the equivalence factor according to the driving conditions. The main idea is to periodically refresh the control parameter according to the current road load, so that the battery State of Charge (SOC) is maintained within the boundaries and the fuel consumption is minimized. The results obtained with A-ECMS show that the fuel economy that can…

Citation impact

721
total citations
FWCI
39.44
Percentile
100%
References
17
Citations per year

Authors

3

Topics & keywords

Keywords
  • Energy management
  • Minification
  • Fuel efficiency
  • State of charge
  • Automotive engineering
  • Electric vehicle
  • Computer science
  • Equivalence (formal languages)
UN Sustainable Development Goals
  • Affordable and clean energy
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