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PhD Thesis - Cranfield University

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Chapter 3<br />

provided by the battery manufacturer) to arrive at a more practical equation that can be<br />

expressed as,<br />

n−1<br />

⎡C<br />

⎤<br />

C<br />

⎢ h ⎥<br />

T =<br />

⎣ ⎦<br />

( 3-23)<br />

n<br />

I<br />

where C is the nominal capacity of the battery and h is the hour rating at that capacity. (For<br />

example, a 100Ah battery rated for 20 hours translates to C = 100 and h =20 ). With this, the<br />

estimated amphour of the battery can be evaluated by a multiplication of time T obtained<br />

from (3-23) with the discharge current I.<br />

To demonstrate the effectiveness of the battery capacity estimation, a comparison using<br />

discharge profile data of a 27Ah – 10hour VRLA battery against the calculated capacity was<br />

performed. Figure 3.4 shows the comparison between the two. In the calculation, a Peukert<br />

coefficient of n=1.13 was used. As shown, the estimated Ah is in good agreement with most<br />

of the measured Ah points but shows a large error at very high currents. However, in a<br />

supervisory system that manages the power level exerted by the batteries and mitigates high<br />

power stresses to another device, the use of this capacity estimation method proves<br />

sufficient.<br />

Capacity (Ah)<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

1<br />

10<br />

20<br />

30<br />

40<br />

50<br />

60<br />

70<br />

80<br />

90<br />

100<br />

110<br />

68<br />

120<br />

130<br />

140<br />

Discharge Current (A)<br />

150<br />

160<br />

170<br />

Calculated<br />

Measured<br />

Figure 3.4 Comparison of a battery measured capacity and an estimated capacity using an adpatation of<br />

Peukert’s equation<br />

180<br />

190<br />

200<br />

210<br />

220<br />

230<br />

240

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