Smart Instrument for Automotive Battery Application

Author

Kumar, Raj ; Khare, Neeta

Author_Institution

Banasthali Univ., Banasthali, India

fYear

2012

fDate

3-5 Nov. 2012

Firstpage

671

Lastpage

675

Abstract

The battery management system (BMS) for charge and health monitoring has always been a challenge for automotive industry. This paper presents the design and development of an intelligent online battery monitoring instrument. The instrument is designed using non-linear behavior modeling of the battery and is implemented using PIC micro controller coupled with battery parameter sensors. The instrument takes battery terminal voltage, current drawn, internal resistance, temperature and time as input parameters. Algorithms define uses neuro-fuzzy approach to indicate state of charge (SoC) of the battery. The prototype of the instrument has been tested successfully on 12V Lead-Acid battery, Exide make MF40sv used for automotive application. The average error (RSS) of the instrument is 8.7921% and the total response time of the system is 4.8 seconds.

Keywords

automotive electronics; battery charge measurement; battery management systems; battery powered vehicles; computerised monitoring; condition monitoring; electronic engineering computing; fuzzy neural nets; intelligent sensors; microcontrollers; secondary cells; BMS; MF40sv; PIC microcontroller; SoC; automotive battery application; automotive industry; battery charge monitoring; battery management system; battery parameter sensors; battery terminal voltage; health monitoring; intelligent online battery monitoring instrument; internal resistance; lead-acid battery; neuro-fuzzy approach; nonlinear behavior modeling; smart instrument; state of charge; time 4.8 s; voltage 12 V; Artificial neural networks; Batteries; Gravity; Instruments; System-on-a-chip; Temperature sensors; Artificial Neural Network (ANN); Battery; Battery Management system (BMS); Neuro-fuzzy; PIC microcontroller; State of charge (SoC); fuzzy Logic (FL);

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on

Conference_Location

Mathura

Print_ISBN

978-1-4673-2981-1

Type

conf

DOI

10.1109/CICN.2012.186

Filename

6375197