Estimation of State of Charge for Lithium-Ion Battery Based on Finite Difference Extended Kalman Filter

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="348537.fig.005a" src="https://static.hindawi.com/articles/jam/volume-2014/348537/figures/348537.fig.005a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>True data of DST and its estimated data</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="348537.fig.005b" src="https://static.hindawi.com/articles/jam/volume-2014/348537/figures/348537.fig.005b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Estimated voltage error of DST data</td></tr></table></td></tr></table>

<table>The results of model validation with DST data.</table>

Journal of Applied Mathematics

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Figure 5

Figure 5: Estimation of State of Charge for Lithium-Ion Battery Based on Finite Difference Extended Kalman Filter 