Skip to Main content Skip to Navigation
Journal articles

Optimized Hybrids

Abstract : Today, hybrids are on the road, from affordable micro hybrids providing mostly the stop&start feature, up to more expensive systems with signifi - cant pure electric mode range. One of the challenges is to improve the control algorithms to reach better fuel economy and reduce emissions. Developing efficient energy management algorithms (EMAs) does slightly increase the hybrid system costs, but it can also improve the vehicle’s fuel economy by several percent. That has been precisely one of the research topics of the Laboratory of Industrial and Human Automation Control, Mechanical Engineering and Computer Science (LAMIH UMR CNRS 8201) since 1996.
Document type :
Journal articles
Complete list of metadata
Contributor : Julie Cagniard Connect in order to contact the contributor
Submitted on : Tuesday, April 19, 2022 - 1:29:20 PM
Last modification on : Wednesday, April 20, 2022 - 3:39:44 AM


  • HAL Id : hal-03644634, version 1



Sebastien Delprat, Christian Fontaine, Sebastien Paganelli. Optimized Hybrids. DSpace Magazine, 2014, pp.35-37. ⟨hal-03644634⟩



Record views