Battery Monitoring System using Microcontroller ESP32 and Internet of Things

2021 ◽  
Vol 105 (1) ◽  
pp. 517-529
Author(s):  
Nam Ngoc Pham ◽  
Jan Leuchter ◽  
Lam Khac Pham ◽  
Radek Bystřický ◽  
Huy Quang Dong
Keyword(s):  
Internet Of Things ◽  
Wireless Communication ◽  
Monitoring System ◽  
Management System ◽  
Power Source ◽  
Measured Data ◽  
The State ◽  
Battery Management System ◽  
Battery Management

This paper deals with designing and implementing a battery management system (BMS) for autonomous devices, using batteries as the power source. BMSs are now available in packaged form as an integrated chip. However, these chips are often expensive and unavailable in Vietnam and the Czech markets. Besides, their ability to integrate custom functions, especially function wireless communication between BMS and workstation, is limited. In practice, monitoring the state of the battery during the device’s operation is very important to devise a suitable operating tactic. This work aims to design a system that can measure and estimate the parameters of several batteries in an unmanned autonomous device, and send the measured data to the workstation by using technology Internet of Things for monitoring and analysis during the device’s operation.

scholarly journals Evaluation of lightweight battery management system with field test of electric bus in campus transit system

2020 ◽  
Vol 10 (6) ◽  
pp. 6202
Author(s):  
Watcharin Srirattanawichaikul ◽  
Paramet Wirasanti
Keyword(s):  
State Estimation ◽  
Management System ◽  
Research Work ◽  
The State ◽  
State Of Charge ◽  
Battery Life ◽  
Battery Management System ◽  
Battery Management ◽  
Transit System ◽  
Electric Bus

A battery management system is a crucial part of a battery-powered electric vehicle, which functions as a monitoring system, state estimation, and protection for the vehicle. Among these functions, the state estimation, i.e., state of charge and remaining battery life estimation, is widely researched in order to find an accuracy estimation methodology. Most of the recent researches are based on the study of the battery cell level and the complex algorithm. In practice, there is a statement that the method should be simple and robust. Therefore, this research work is focused on the study of lightweight methodology for state estimation based on the battery pack. The discrete Coulomb counting method and the data-driven approach, based on the Palmgren-Miner method, are proposed for the estimation of the state of charge and remaining battery life, respectively. The proposed methods are evaluated through a battery-powered electric bus under real scenario-based circumstances in the campus transit system. In addition, the battery life-cycle cost analysis is also investigated. The tested bus has currently been in operation in the transit system for more than one year.

scholarly journals Low Power Modular Battery Management System with a Wireless Communication Interface

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6320
Author(s):  
Roman Gozdur ◽  
Tomasz Przerywacz ◽  
Dariusz Bogdański
Keyword(s):  
Energy Efficiency ◽  
Wireless Communication ◽  
Management System ◽  
Electric Energy ◽  
Lithium Ion ◽  
Design Tool ◽  
Management Systems ◽  
Battery Management System ◽  
Battery Management ◽  
Battery Management Systems

The paper concerns the design and development of large electric energy storage systems made of lithium cells. Most research advances in the development of lithium-ion battery management systems focus solely on safety, functionality, and improvement of the procedures for assessing the performance of systems without considering their energy efficiency. The paper presents an alternative approach to the design and analysis of large modular battery management systems. A modular battery management system and the dedicated wireless communication system were designed to analyze and optimize energy consumption. The algorithms for assembly, reporting, management, and communication procedures described in the paper are a robust design tool for further developing large and scalable battery systems. The conducted analysis of energy efficiency for the exemplary 100S15P system shows that the energy used to power the developed battery management system is comparable to the energy dissipated due to the intrinsic self-discharge of lithium-ion cells.

scholarly journals Comprehensive Review on Smart Techniques for Estimation of State of Health for Battery Management System Application

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4617
Author(s):  
Sumukh Surya ◽  
Vidya Rao ◽  
Sheldon S. Williamson
Keyword(s):  
Management System ◽  
Internal Resistance ◽  
The State ◽  
Side Reactions ◽  
Battery Life ◽  
Battery Management System ◽  
Battery Management ◽  
State Of Health ◽  
Battery Packs ◽  
Li Ion

Electric Vehicles (EV) and Hybrid EV (HEV) use Lithium (Li) ion battery packs to drive them. These battery packs possess high specific density and low discharge rates. However, some of the limitations of such Li ion batteries are sensitivity to high temperature and health degradation over long usage. The Battery Management System (BMS) protects the battery against overvoltage, overcurrent etc., and monitors the State of Charge (SOC) and the State of Health (SOH). SOH is a complex phenomenon dealing with the effects related to aging of the battery such as the increase in the internal resistance and decrease in the capacity due to unwanted side reactions. The battery life can be extended by estimating the SOH accurately. In this paper, an extensive review on the effects of aging of the battery on the electrodes, effects of Solid Electrolyte Interface (SEI) deposition layer on the battery and the various techniques used for estimation of SOH are presented. This would enable prospective researchers to address the estimation of SOH with greater accuracy and reliability.

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