Comparative Study of Battery Management Algorithms on Customer Return and Battery Life in Building Energy Storage Applications

Building and facility-level battery energy storage systems have recently gained a great deal of attention due to the rapid revolution in battery technologies, a decreasing trend in the cost of battery storage systems, and increased demand for lowering building electricity bills. Building-integrated battery energy storage systems(BESS) balance the load power demand and power system connected capacity by storing the electricity for later use, increasing the flexibility and reliability of the utility network. This study compares the effect of battery management algorithms (BMS) on the customer return and life of Li-Ion battery energy storage systems used for building energy storage applications. Five battery management algorithms are proposed and compared for customer benefit and battery health. Finally, an optimal battery management algorithm is selected, which gives enhanced battery life and customer savings. This article concluded that proper sizing and control of the energy storage systems are instrumental in enhancing the battery life and customer return for a given application.

Authors

Institutions

Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905739
Citations
2
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.41
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Study of Battery Management Algorithms on Customer Return and Battery Life in Building Energy Storage Applications

Sreejith Chakkalakkal, Tissaphern Mirfakhrai, Vijay Bhavaraju, Liu Wen-peng et al.
2 citations
Advanced Battery Technologies Research
0.41
article

Comparative Study of Battery Management Algorithms on Customer Return and Battery Life in Building Energy Storage Applications

Sreejith Chakkalakkal, Tissaphern Mirfakhrai, Vijay Bhavaraju, Liu Wen-peng, Sadaraboina Moses Vidya Sagar
article en
2 citations

Abstract

Building and facility-level battery energy storage systems have recently gained a great deal of attention due to the rapid revolution in battery technologies, a decreasing trend in the cost of battery storage systems, and increased demand for lowering building electricity bills. Building-integrated battery energy storage systems(BESS) balance the load power demand and power system connected capacity by storing the electricity for later use, increasing the flexibility and reliability of the utility network. This study compares the effect of battery management algorithms (BMS) on the customer return and life of Li-Ion battery energy storage systems used for building energy storage applications. Five battery management algorithms are proposed and compared for customer benefit and battery health. Finally, an optimal battery management algorithm is selected, which gives enhanced battery life and customer savings. This article concluded that proper sizing and control of the energy storage systems are instrumental in enhancing the battery life and customer return for a given application.

Eaton (United States) (US), McMaster University (CA)
Affordable and clean energy
Openalex Percentile: Top 37%
Advanced Battery Technologies Research
0.41
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.

Comparative Study of Battery Management Algorithms on Customer Return and Battery Life in Building Energy Storage Applications — Sreejith Chakkalakkal, Tissaphern Mirfakhrai, et al. · (2024) | TGRS Research Map | TGRS