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

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

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 reluc...

Full description

Saved in:
Bibliographic Details
Published in:Scientific reports 2024-02, Vol.14 (1), p.3629-3629
Main Authors: Ghadbane, Houssam Eddine, Barkat, Said, Djerioui, Ali, Houari, Azeddine, Oproescu, Mihai, Bizon, Nicu
Format: Article
Language:eng
Subjects:
Algorithms
Electric vehicles
Energy management
Engineering Sciences
Optimization algorithms
Voltage
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 guarantee the dynamic constraints of the sources when ensuring desired robust control proprieties. To check the feasibility and performance of the suggested EMS, comprehensive processor-in-the-loop co-simulations of the electric vehicle were carried out using the C2000 launchxl-f28379d DSP board. The main goal of the proposed EMS is to guarantee the DC-bus stabilization, reducing the DC-bus voltage ripples (Δv = 5 V) and the voltage overshoots 15 V (3.2%), respect the source dynamics, and satisfy the SynRM motor power demand. Furthermore, the algorithm minimizes induced harmonics by the drive (10.49%), reducing the battery current ripple by 17.15A, thereby enhancing the battery lifecycle.
ISSN:2045-2322
2045-2322