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There exists a contradiction that equipment is constantly being damaged in wartime, but the battlefield rush-repair time and power are limited. This contradiction can be effectively solved through dynamic scheduling of battlefield rush-repair tasks. But it will cause problems that repair force cannot respond to the new repair needs timely and may appear idle, together with reducing the repair benefit, when adopting time batch driven strategy or quantity batch driven strategy. Because the emergence of new rush repair demand is uncertain. In order to solve this problem, the paper gives a deep research on the dynamic driven strategy of dynamic scheduling of battlefield rush-repair tasks. In this paper, the multi-objective and dynamic scheduling of battlefield rush-repair tasks and its general solution idea are put forward. Two kinds of dynamic driven strategies are designed, including based on repair demand information and based on repair team status. A new dynamic driven strategy is proposed, named “mixing batch + based on repair team status” driven strategy. Six test cases are constructed by using the uniform design. The advantages and disadvantages of three kinds of dynamic driven strategies are analyzed by experiments, under the influence of many factors. Result shows that the new dynamic driven strategy have obvious advantages ,when comparing with other dynamic driven strategies.