TY - GEN
T1 - Accurate distance estimation of battery locomotive based on energy balance approach
AU - Mukhopadhyay, Sakura
AU - Deilami, Sara
AU - Taghizadeh, Foad
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Electric train
KW - battery driven locomotive
KW - railway decarbonization
KW - energy balance train modelling
KW - rail electrification
KW - distance estimation
UR - http://www.scopus.com/inward/record.url?scp=85215625338&partnerID=8YFLogxK
U2 - 10.1109/AUPEC62273.2024.10807601
DO - 10.1109/AUPEC62273.2024.10807601
M3 - Conference proceeding contribution
AN - SCOPUS:85215625338
SN - 9798350377958
BT - 2024 IEEE 34th Australasian Universities Power Engineering Conference (AUPEC)
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
T2 - 34th IEEE Australasian Universities Power Engineering Conference, AUPEC 2024
Y2 - 20 November 2024 through 22 November 2024
ER -