Real-Time Application Optimization Control Algorithm for Energy Management Strategy of the Hybrid Power System Based on Artificial Intelligence

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Name</td><td class="align_center">Experiment 1</td><td class="align_center">Experiment 2</td><td class="align_center">Experiment 3</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Actual gas consumption</td><td class="align_center">19.3</td><td class="align_center">19.0</td><td class="align_center">19.9</td></tr><tr><td class="align_left">Actual power consumption</td><td class="align_center">19.5</td><td class="align_center">19.8</td><td class="align_center">20.1</td></tr><tr><td class="align_left">Total fuel consumption</td><td class="align_center">26.1</td><td class="align_center">25.9</td><td class="align_center">26.9</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Data statistics of vehicle economy experiment.</div>

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Table 3

Table 3: Real-Time Application Optimization Control Algorithm for Energy Management Strategy of the Hybrid Power System Based on Artificial Intelligence 

Table 3 | Real-Time Application Optimization Control Algorithm for Energy Management Strategy of the Hybrid Power System Based on Artificial Intelligence 