On Lead-Acid-Battery Resistance and Cranking-Capability Estimation

被引:52
作者
Cugnet, Mikael [1 ]
Sabatier, Jocelyn [1 ]
Laruelle, Stephane [2 ]
Grugeon, Sylvie [2 ]
Sahut, Bernard [3 ]
Oustaloup, Alain [1 ]
Tarascon, Jean-Marie [2 ]
机构
[1] CNRS, UMR 5218, IMS LAPS Lab, F-33405 Talence, France
[2] CNRS, UMR 6007, LRCS Lab, F-80039 Amiens, France
[3] PSA Peugeot Citroen CTV VV187, Velizy Villacoublay, France
关键词
Battery resistance; cranking; fractional systems; lead-acid batteries; system identification; STATE-OF-CHARGE; MODEL VALIDATION; SYSTEM; IDENTIFICATION; MANAGEMENT; IMPEDANCE;
D O I
10.1109/TIE.2009.2036643
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With hybrid and electric vehicle developments, battery-monitoring systems have to meet the new requirements of the automobile industry. This paper deals with one of them, the battery's ability to start a vehicle, also called battery crankability, through battery-resistance estimation. A fractional-order model obtained by system identification is used to estimate the internal resistance of lead-acid batteries. Fractional-order modeling permits an accurate simulation of the battery electrical behavior with a low number of parameters. Moreover, the high-frequency gain of the fractional model is directly linked to the battery resistance. A resistance-estimation method based on a frequency-invalidation method is, thus, proposed. It is demonstrated that the battery's available power that defines battery crankability is correlated to the battery resistance. Thus, a battery-crankability estimator using the battery resistance is suggested. Validation tests are carried out with various batteries. This estimator cannot be embedded in a microcontroller due to the linear-matrix-inequality-based optimization algorithm in the invalidation-model method used. A simplified algorithm is finally proposed, and its efficiency is proved.
引用
收藏
页码:909 / 917
页数:9
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