Accurate Distance Estimation of Battery Locomotive Based on Energy Balance Approach

In this paper, an energy balance approach has been proposed to determine the maximum distance travelled by the lithium-ion battery driven electric locomotive during catenary-free operation for any railway environment. Through an energy balance approach, an algorithm has been developed of maximum distance the battery can deliver as a function of several variables and further optimized proposing an algorithm to maximize the distance. This research further presents a mathematical model and dynamic simulation of an electric train from a railway electrification designer’s perspective, with real-life issues and design constraints considered and input into the model. Using MATLAB, the simulation model consists of the battery train’s longitudinal dynamics, electric system, and on-board energy storage has been developed. The results have been compared and validated with real life data of Australian railway standards to ensure accuracy and validity.

Authors

Institutions

Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/aupec62273.2024.10807601
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accurate Distance Estimation of Battery Locomotive Based on Energy Balance Approach

Foad Taghizadeh, Sara Deilami, Sakura Mukhopadhyay
Advanced Battery Technologies Research
article

Accurate Distance Estimation of Battery Locomotive Based on Energy Balance Approach

Foad Taghizadeh, Sara Deilami, Sakura Mukhopadhyay
article en

Abstract

In this paper, an energy balance approach has been proposed to determine the maximum distance travelled by the lithium-ion battery driven electric locomotive during catenary-free operation for any railway environment. Through an energy balance approach, an algorithm has been developed of maximum distance the battery can deliver as a function of several variables and further optimized proposing an algorithm to maximize the distance. This research further presents a mathematical model and dynamic simulation of an electric train from a railway electrification designer’s perspective, with real-life issues and design constraints considered and input into the model. Using MATLAB, the simulation model consists of the battery train’s longitudinal dynamics, electric system, and on-board energy storage has been developed. The results have been compared and validated with real life data of Australian railway standards to ensure accuracy and validity.

Macquarie University (AU)
Affordable and clean energy
Openalex Percentile: Top 74%
Advanced Battery Technologies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Accurate Distance Estimation of Battery Locomotive Based on Energy Balance Approach — Foad Taghizadeh, Sara Deilami, et al. · (2024) | TGRS Research Map | TGRS