Theoretical Analysis of the Plug-In Electric Vehicle DC Charging Controller with Small-Scale Lithium-Polymer Ion Battery Under Dynamic Ambient Circumstances

Authors

Peter Makeen, The British University in Egypt;Follow
Hani Ghali, Electrical Engineering, the British University in Egypt (BUE)
Saim Memon, Division of Electrical and Electronic Engineering, School of Engineering, London Centre for Energy Engineering, London South Bank UniversityFollow
Fang Duan, Division of Electrical and Electronic Engineering, School of Engineering, London Centre for Energy Engineering, London South Bank University

Document Type

Conference Proceeding

Publication Date

5-29-2024

Abstract

Plug-in Electric Vehicles (PEVs) have evolved and grown swiftly in the revolutionary electrification of automobiles due to their benefits in energy conservation and environmental preservation. The current challenges of managing and controlling the charging process at different ambient conditions are hindering the confidence margin on EVs. In this paper, an intelligent framework for DC-charging PEVs is proposed. This scenario is composed of a hierarchical controller technique implemented on a small-scale lithium-polymer ion battery. Firstly, an investigation of the EV battery charging VI characteristics under dynamic temperatures and relative humidity is scrutinized. This is followed by a full non-linear identification model supported by a transfer function of the battery’s dynamic behaviour at the operating charging ambient conditions. Finally, a robust controller is utilized based on the dynamic model to implement the fast-charging process while enhancing the transient performance and minimizing the voltage ripples using a cascaded sliding mode controller (SMC) and compared with the conventional PID controller and the neural network model predictive controller (NNMPC). The battery dynamic performance is expressed using the Hammerstein-Wiener (H-W) identification model and compared with the nonlinear exogenous input (ARX) model. The H-W identification model resulted in the best fit of 89.62% and an error of 1.1876%. The results implicated that the charging process through the SMC controller ensured the shortest settling time of 2.446 ms with respect to the PID and the NNMPC. In addition, the SMC satisfied the minimum charging current ripples which is directly reflected in the ripples of the battery’s terminal voltage.

Recommended Citation

Makeen, Peter; Ghali, Hani; Memon, Saim; and Duan, Fang, "Theoretical Analysis of the Plug-In Electric Vehicle DC Charging Controller with Small-Scale Lithium-Polymer Ion Battery Under Dynamic Ambient Circumstances" (2024). Electrical Engineering. 60.
https://buescholar.bue.edu.eg/elec_eng/60