IRO Journals

Journal of Electrical Engineering and Automation

Comparative analysis of Direct and Indirect Model Reference Adaptive Control by Extended Kalman Filter
Volume-3 | Issue-3

Smart Wires and Modular FACTS Controllers for Smart Grid Applications: A Review
Volume-3 | Issue-4

Integrated Renewable Energy Management System for Reduced Hydrogen Consumption using Fuel Cell
Volume-3 | Issue-1

Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3

Artificial Intelligence based Business Process Automation for Enhanced Knowledge Management
Volume-3 | Issue-2

Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2

Design of Effective Smart Communication System for Impaired People
Volume-2 | Issue-4

Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
Volume-3 | Issue-3

Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2

A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4

Power Transfer Capability Recognition in Deregulated System under Line Outage Condition Using Power World Simulator
Volume-3 | Issue-4

Transformer Oil Diagnostic Tests Analysis using Statistical Correlation Technique
Volume-4 | Issue-3

Design of Inverter Voltage Mode Controller by Backstepping Technique for Nonlinear Power System Model
Volume-3 | Issue-4

Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
Volume-3 | Issue-3

Performance Analysis of Multiple Pico Hydro Power Generation
Volume-2 | Issue-2

Energy Efficient Data Mining Approach for Estimating the Diabetes
Volume-3 | Issue-2

Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3

Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2

A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4

Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2

Home / Archives / Volume-6 / Issue-1 / Article-3

Volume - 6 | Issue - 1 | march 2024

An Overview of BMS Technologies in Electric Vehicles
Chitralekha Jena  , Sunita Pahadasingh, Aneek Pattanaik, Divya Das, Smitasree Jena
Pages: 32-48
Cite this article
Jena, C., Pahadasingh, S., Pattanaik, A., Das, D. & Jena, S. (2024). An Overview of BMS Technologies in Electric Vehicles. Journal of Electrical Engineering and Automation, 6(1), 32-48. doi:10.36548/jeea.2024.1.003
Published
20 April, 2024
Abstract

Batteries are used extensively in high-power applications, including hybrid and electric vehicles (EVs), where the proper battery management system (BMS) is essential to the batteries' dependable and safe performance. The purpose of this study is to provide a quick overview of several important BMS technologies, such as battery charging, state estimation, and battery modelling. The most common battery types utilized in EVs are first examined, and then important BMS technologies are introduced. The most crucial step in determining the energetic range of an EV is the valuation of the electrical properties of batteries. It’s vital to apprehend the variability of battery performance characteristics in order to understand battery behavior in several environments. Finally, the performance characteristics of EV charging and batteries are analyzed to raise the demand for electric vehicles globally.

Keywords

Electric Vehicles Charging Systems Battery Management Systems Energy Storage Systems

Full Article PDF
×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
For single article (Indian)
1,200 INR
Article Access Charge
For single article (non-Indian)
15 USD
Open Access Fee (Indian) 5,000 INR
Open Access Fee (non-Indian) 80 USD
Annual Subscription Fee
For 1 Journal (Indian)
15,000 INR
Annual Subscription Fee
For 1 Journal (non-Indian)
200 USD
secure PAY INR / USD
Subscription form: click here