State of Health Estimation of Lithium-Ion Battery Using Time Convolution Memory Neural Network

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Dimension</td><td class="align_center">MAX (%)</td><td class="align_center">MAE (%)</td><td class="align_center">MSE (%)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">258</td><td class="align_center">4.50</td><td class="align_center">1.931</td><td class="align_center">1.14</td></tr><tr><td class="align_left">130</td><td class="align_center">6.65</td><td class="align_center">2.779</td><td class="align_center">1.68</td></tr><tr><td class="align_left">514</td><td class="align_center">3.79</td><td class="align_center">0.143</td><td class="align_center">0.76</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Error of different dimensions.</div>

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Table 4

Table 4: State of Health Estimation of Lithium-Ion Battery Using Time Convolution Memory Neural Network 