Energy management of electric vehicle using a new strategy based on slap swarm optimization and differential flatness control.

ABSTRACT: Optimal energy management of electric vehicles using slap swarm optimization and differential flatness control has been proposed. A battery-supercapacitor power system is adopted. Each source is connected in parallel to the DC-bus using DC-DC bidirectional converters and supplies a synchronous reluctance motor (SynRM) based drive. The proposed EMS fundamental forces lie in using a combination of complementary proprieties of two approaches, a Slap Swarm optimization Algorithm and Differential Flatness (DF). With a fast optimization mechanism, the Slap Swarm optimization algorithm allows adapting in real-time conditions the DF gains to optimize the system performances. On its side, DF uses predefined trajectories respecting the physical proprieties of the system, which is a powerful tool to

SUBMITTER: Ghadbane HE 

PROVIDER: S-EPMC11269717 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature