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Automotive Battery State-of-Health Monitoring Methods

Grube, Ryan J.
http://rave.ohiolink.edu/etdc/view?acc_num=wright1229787557

Abstract Details

2008, Master of Science in Engineering (MSEgr), Wright State University, Electrical Engineering.
Effective vehicular power management requires accurate knowledge of battery state, including state-of-charge (SOC) and state-of-health (SOH). An essential functionality of automotive batteries is delivering high power in short periods to crank the engine. A well-known approach to battery SOH monitoring is to infer battery state-of-health from battery impedance or resistance, which is not robust to variation of battery types. The research and development of more reliable battery state-of-health monitoring methods to ensure vehicle start-up ability are presented in this thesis. The methods include a battery cranking voltage based method, a parity-relation based method using battery voltage and cranking current signals, and a support vector machine based pattern recognition method utilizing battery voltage and engine cranking speed. The performances of these methods have been evaluated and compared through analysis of extensive real vehicle cranking data from 2 vehicles and 20 batteries. Cost benefit analysis is also conducted with different sensor options.
Xiaodong Zhang, PhD (Advisor)
Kuldip Rattan, PhD (Committee Member)
Hong Huang, PhD (Committee Member)
116 p.
Electrical Engineering
battery; state-of-health monitoring; battery monitoring methods

Recommended Citations

Citations

  • Grube, R. J. (2008). Automotive Battery State-of-Health Monitoring Methods [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1229787557

    APA Style (7th edition)

  • Grube, Ryan. Automotive Battery State-of-Health Monitoring Methods. 2008. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1229787557.

    MLA Style (8th edition)

  • Grube, Ryan. "Automotive Battery State-of-Health Monitoring Methods." Master's thesis, Wright State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1229787557

    Chicago Manual of Style (17th edition)

wright1229787557
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© 2008, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.