Logo image
A Novel Approach in Evaluating Battery Charger Controller Design with Nonlinear PID Controller for an Extendable CHIL Setup
Conference proceeding   Open access

A Novel Approach in Evaluating Battery Charger Controller Design with Nonlinear PID Controller for an Extendable CHIL Setup

Shervin Salehi Rad, Micheal Muhlbaier, Oleg Fishman, Javad Chevinly, Elias Nadi, Hua Zhang and Fei Lu
2024 IEEE Transportation Electrification Conference and Expo (ITEC), pp 1-5
19 Jun 2024
url
https://arxiv.org/abs/2405.13243View

Abstract

Battery charger Battery chargers Controller hardware-in-the-loop Hardware-in-the-loop Microcontrollers Power electronics Power hardware-in-the-loop Training Batteries Mathematical Models Transportation
The design and development of power electronics converters pose a multitude of challenges. The evaluation of power electronics converters, particularly when operating at high power levels, presents a significant task, offering designers a deeper understanding of the functionality. Several methodologies have been devised to conduct hardware-in-the-loop (HIL) tests, which are classified into two main categories: controller hardware-in-the-loop (CHIL) and power hardware-in-the-loop (PHIL) tests. This paper explores the advantages and drawbacks of these two approaches and introduces a straightforward and cost-effective CHIL method for initial proof of concept and risk-free controller training. This method is based on the interaction between MATLAB/Simulink and Python. To assess the operation of the proposed system, a modeled battery pack (96S1P) is charged using a modeled battery charger converter, employing a non-linear PID controller. In this scenario, the controller benefits from the CC-CV technique for charging the battery pack. The results are presented in the final section.

Metrics

16 Record Views
2 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#11 Sustainable Cities and Communities

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
Web of Science research areas
Engineering, Electrical & Electronic
Transportation Science & Technology
Logo image