Energy-efficient fuzzy hybrid flow shop scheduling problem (EFHFSP) with batch processing machines (BPM) and no precedence between some stages is studied, and a dynamical artificial bee colony (DABC) is proposed to minimize the fuzzy makespan and total fuzzy energy consumption simultaneously. To generate high quality solutions, swarm decision is established by population evaluation and used to dynamically determine employed bee swarm and onlooker bee swarm on each generation. Dynamical employed bee phase, onlooker bee phase with adaptive communication, diversity reinforment strategy and adaptive scout phase are also applied. Extensive experiments are conducted. The computational results show that DABC has promising advantages on the considered EFHFSP.