Data and Code for Manuscript Titled "Optimal Sizing of Hybrid High-Energy/High-Power Battery Energy Storage Systems to Improve Battery Cycle Life and Charging Power in Electric Vehicle Applications"

Published: 21 March 2022| Version 1 | DOI: 10.17632/k7jpvv33sm.1
Contributors:
Farshid Naseri,
, Turev Sarikurt

Description

The research data is associated with the article entitled "Optimal Sizing of Hybrid High-Energy/High-Power Battery Energy Storage Systems to Improve Battery Cycle Life and Charging Power in Electric Vehicle Applications". It includes the hybrid battery model including performance and lifetime modes as well as energy management. Likewise, MATLAB m-files for optimal sizing by the genetic algorithm are included in the dataset. The folder titled "Drive cycle data" includes speed and power data of the Mitsubishi i-MiEV over NEDC and WLTP (class 3) driving cycles.

Files

Steps to reproduce

Follow flowcharts represented in Fig. 1 and Fig. 10 to understand how to consider different design targets in the optimal sizing problem.

Institutions

Aarhus Universitet Faculty of Technical Sciences

Categories

Genetic Algorithm, Hybrid Energy System

Licence