An appropriate gearshift schedule can help electric construction machinery improve energy efficiency. However, the current gearshift schedules still use conventional economic or power strategies that do not consider the operating characteristics of electric construction machinery. This study proposes an operational intent recognition and staged shifting strategy for electric construction machinery energy-efficient operation. Firstly, a method of dividing the different operating phases was identified to determine the phases in which shifting could occur. Then, the static shifting schedule is formulated based on considering the shifting loss. Finally, the dynamic adjustment rules of the static shifting schedule are developed by considering the driver’s and dispatcher’s intentions to achieve the dynamic adjustment of the gearshift schedule. An electric wheel loader validates the method, and the results show that the dynamic integrated shifting strategy reduces the annual average energy consumption by 4058.71 kWh compared with the power shifting strategy, and the number of annual shift times can be reduced by 96,360 compared with the economic shifting strategy. At the same time, it is adaptable to non-given working conditions. This study can be widely applied to developing shift strategies for electric construction machinery.
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