Open Access Open Access  Restricted Access Subscription or Fee Access

A Comparative Study on Battery Health Monitoring System

Aditya Khatokar

Abstract


This work focuses on the recent trends in BHMS and its applications in industries. The concepts of travelling wave theory and Bayesian Framework in the optimisation of BHMS is outlined. The later part of the study focusses on the health monitoring system. EVs or HEVs have been marketed or generally regarded as environmentally sustainable also as substitutes for many automobiles built upon fuel engines. This is because of Lithium Ion Batteries. The development of Lithium Ion battery and smart phone optimisation techniques are highlighted. Keywords: BHMS, Lithium Ion Battery, Fuel engine, optimisation

Full Text:

PDF

References


Friansa, K., Haq, I. N., Santi, B. M., et al. Development of Battery Monitoring System in Smart

Microgrid Based on Internet of Things (IoT). Procedia Engineering: 2017; 170: 482–487.

Y. Xing, E. W. M. Ma, K. L. Tsui, et al. Pecht. Battery Management Systems in Electric and

Hybrid Vehicles. Energies: 2011; 4(12): 1840–1857.

Irsyad N. H., Edi Leksono, M. Iqbal, et al. Development of Battery Management System for Cell

Monitoring and Protection: 2014 Nov 24-25; Kuta, Bali, Indonesia: IEEE Int. Conf. on Elect.

Engineering and Computer Science. February 2015

Armand, M., Axmann, P., Bresser, D. et al. Lithium-ion batteries – Current state of the art and

anticipated developments. Journal of Power Sources: 2020; 479:228708

Khaleghi, S., Firouz, Y., Van Mierlo, J. et al. Developing a real-time data-driven battery health

diagnosis method, using time and frequency domain condition indicators. Applied Energy: 2019;

: 113813

Sun F, Xiong R, He H. A systematic state-of-charge estimation framework for multicell battery

pack in electric vehicles using bias correction technique. Appl Energy: 2016;162:1399–409.

Cadini F, Sbarufatti C, Cancelliere F et al. State-of-life prognosis and diagnosis of lithium-ion

batteries by data-driven particle filters. Appl Energy: 2019;235:661–72.

Berecibar M, Gandiaga I, Villarreal I, et al. Critical review of state of health estimation methods

of Li-ion batteries for real applications. 2015; 56:572-587

K. Goebel, B. Saha, A. Saxena. Prognostics in Battery Health Management. IEEE Instrumentation

& Measurement Magazine: 2008; 11(4): 33-40.

E. Meissner, G. Richter. Battery Monitoring and Electrical Energy Management - Precondition

for future vehicle electric power systems. Journal of Power Sources: 2003; 116(1): 79-98

K. Nakjuy and S. Khomfoi. Battery Monitoring System for DC Distribution in a Substation Using

Travelling Wave Theory: 2018 March 7-9; Krabi, Thailand: 2018 International Electrical

Engineering Congress (iEECON). May 2019

D.O. Aditya, and W. B. Pramono. DC backup supply monitoring in substation based on wireless

sensor network: 2016 Aug 1-2; Yogyakarta, Indonesia: Wireless and Telematics, 2016 2nd

International Conference on. ICWT. March 2017

J. Tongkamkaew, J. Srikrajib, J. Nooleau and C. Tankul. Hybrid battery for grid support function:

unpublished.

Lu, Languang, et al. A review on the key issues for lithium-ion battery management in electric

vehicles. Journal of Power Sources: 2013; 226.3:272-288.

R. Kerley, J. H. Hyun and D. S. Ha. Automotive lead-acid battery state-of-health monitoring

system: 2015 Nov 9-12; Yokohama, Japan: IECON 2015 - 41st Annual Conference of the IEEE

Industrial Electronics Society. January 2016

O. Bohlen, S. Buller, R. W. De Doncker et al. Impedance based battery diagnosis for automotive

applications. PESC 04. 2004 IEEE 35th Annual: 2004; 4: 2792–2797.

R. Grube. Automotive Battery State-Of-Health Monitoring Methods. Master of Science in

Engineering: 2009; 42(8): 552-557

H. Blanke, O. Bohlen, S. Buller et al. Impedance measurements on lead–acid batteries for state-

of-charge, state-of-health and cranking capability prognosis in electric and hybrid electric

vehicles. J. Power Sources: 2005; 144(2):418–425.

S. Arulampalam, S. Maskell, N. J. Gordon, and T. Clapp. A tutorial on particle filters for online

nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process: 2002; 50(2): 174–188

B. Saha, K. Goebel, S. Poll et al. An integrated approach to battery health monitoring using

Bayesian regression and state estimation: 2007 Sept. 17-20; Baltimore, MD, USA: Proc. IEEE

AUTOTESTCON. November 2007

J. Arnold, S. Shaw and H. Pastemnack. Efficient target tracking using dynamic programming.

IEEE Transactions on Aerospace and Electronic Systems: 1993; 29: 44-56.

F. A. Shah, S. Shahzad Sheikh, U. I. Mir et al. Battery Health Monitoring for Commercialized

Electric Vehicle Batteries: Lithium-Ion: 2019 Aug. 26-27 ; Istanbul, Turkey: 2019 International

A Comparative Study on Battery Health Monitoring System Aditya Khatokar J. et al.

© STM Journals 2021. All Rights Reserved 26

Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET).

October 2019

M. A. Hannan, F. A. Azidin, and A. Mohamed. Hybrid electric vehicles and their challenges: A

review. Renew. Sustain. Energy Rev: 2014; 29: 135–150.

S. M. Rezvanizaniani, Z. Liu, Y. Chen et al. Review and recent advances in battery health

monitoring and prognostics technologies for electric vehicle (EV) safety and mobility. J. Power

Sources:2014; 256:110–124.

M. Gholizadeh and F. R. Salmasi. Estimation of state of charge, unknown nonlinearities, and state

of health of a lithium-ion battery based on a comprehensive unobservable model. IEEE Trans.

Ind. Electron: 2013; 61(3): 1335–1344.

N. Alshurafa, J.-A. Eastwood, M. Pourhomayoun et al. Anti-cheating: Detecting self-inflicted and

impersonator cheaters for remote health monitoring systems with wearable sensors: 2014 June 16-

; Zurich, Switzerland: Proc. Body Sensor Netw. July 2014

M. Lan, L. Samy, N. Alshurafa et al. Wanda: An end-to-end remote health monitoring and

analytics system for heart failure patients: 2012 Oct 23-25; New York, NY, USA : Wireless

Health Conf. 2012 December

Y. G. Lee, W. S. Jeong, and G. Yoon. Smartphone-based mobile health monitoring. Telemed. J. E

Health:2012; 18(8): 585–590.

Aditya Khatokar J., Mounisha M., Nayana M.A. et al. Battery Management System: A Survey.

Journal of Industrial Safety Engineering: 2020; 7(1): 29–35.

Aditya Khatokar J, Nayana M A , Soundarya N. et al. Electric Vehicles: Transition to Green

Zone. Trends in Transport Engineering and Applications: 2020; 7(2): 12–17.

Raksha K.P., Rajani Alagawadi, Nisha N et al. Advancement of Nanotechnology in Batteries.

International Journal of Energetic Materials: 2020; 6(2): 18–24.

Vinay N., Aditya Khatokar J., Ajay Sudhir Bale. Analysis on Synthesis of Quantum Dots with

Their Applications on Photochemistry. International Journal of Photochemistry: 2020; 6(1): 1–11

Ajay Sudhir Bale, Bharath G, Kiran Mohan M S, et al. Thin-Films: Study of Medical, Display and

Environmental Applications. International Journal of Energetic Materials: 2020; 6(1): 1–6.

Ajay Sudhir Bale, Suhaas V. Reddy, Shivashankar A. Huddar. Electromechanical characterization

of Nitinol based RF MEMS switch. Materials Today: Proceedings: 2020; 27(1): 443-445

Ajay Sudhir Bale, J. Aditya Khatokar, Shantanu Singh, et al. Nanosciences fostering cross domain

engineering applications. Materials Today: Proceedings: 2020; 43: 9–10

J. Aditya Khatokar, N. Vinay, Ajay Sudhir Bale, M.A. Nayana, et al. A study on improved

methods in Micro-electromechanical systems technology. Materials Today: Proceedings: 2021:

(2): 3784-3790

Ajay Sudhir Bale, J. Aditya Khatokar, M.S. Kiran Mohan,et al. Nanotechnology as a tool for

treating cancerous tumors. Materials Today: Proceedings: 2021; 46(3): 3847-3851

S. A. Huddar, B. G. Sheeparamatti and A. S. Bale. Study of pull-in voltage of a perforated SMA

based MEMS Switch: 2017 August 10-12; Vellore, India: 2017 International conference on

Microelectronic Devices, Circuits and Systems (ICMDCS). December 2017

Ajay Sudhir Bale, Harish Koujalgi. Quality Factor analysis for Nitinol based RF MEMS

Resonator. International Research Journal of Engineering and Technology (IRJET): 2017; 4(7):

-3222

Ajay Sudhir Bale, Suhaas V Reddy, Subhashish Tiwari. Effect of residual stress on resonant

frequency in Nitinol based thin film resonator: June 2020; IOP Conference Series Materials

Science and Engineering:2020

Kishan Das Menon H, AdityaKhatokar J, Ajay Sudhir Bale.Enhanced Railway Operations Using

Automated Locomotive Simulator. Trends in Transport Engineering and Applications: 2020; 7(1):

–23.

Ajay Sudhir Bale, Hosamani Ummar Farooq N, Shivashankar Huddar. Automated Diesel transfer

system using PLC. Journal of Industrial Safety Engineering: 2019; 6(1): 8–14.

Venkatesh M S, Manoj Patil, Ajay Sudhir Bale et al. Design of Remotely Monitorable Low Power

Phototherapy Unit for Treatment of Neonatal Hyperbilirubinemia; Davangere, India: National

Conference at Bapuji Engineering College. September 2017.

Aditya Khatokar J., Nayana M.A., Ajay Sudhir Bale et al. A Survey on High Frequency Radios

and their Applications. Journal of Industrial Safety Engineering: 2020; 7(1):7–12.

Harish Koujalgi, Ajay Sudhir Bale. Biometric Based Automatic Ticket Vending Machine for

Indian Railways. International Research Journal of Engineering and Technology (IRJET): 2017; 4

(7): 3235-3238

Aditya Khatokar J, Nayana M A, Kishan Das Menon H et al. A Study on Various Approaches in

Remote Sensing. Journal of Telecommunication, Switching Systems and Networks: 2020; 7(2):

–37.

J. Aditya Khatokar, N. Vinay, B. Sanjay et al. Carbon nanodots: Chemiluminescence,

fluorescence and photoluminescence properties: 2021 March 16: Materials Today: Proceedings.

S. S. Kumar, A. Sudhir Bale, P. M. Matapati and V. N. Conceptual Study of Artificial Intelligence

in Smart Cities with Industry 4.0: 2021 March 4-5; Greater Noida, India: 2021 International

Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE).

April 2021.

A. S. Bale, S. Saravana Kumar, P. Rao and A. K. J. A Recent Trend in DC Microgrid March 4-5;

Greater Noida, India: 2021 International Conference on Advance Computing and Innovative

Technologies in Engineering (ICACITE). April 2021.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Journal of Power Electronics & Power Systems

eISSN: 2249–863X