Electric wheelchairs are widely used to improve mobility in individuals with motor disabilities. However, people with severe motor impairment, who do not have the motor control ability, are unable to control the wheelchair by themselves. In order to solve this problem, control strategies based on braincomputer interface (BCI) were introduced into wheelchair control. The BCI based on steady-state visual evoked potential (SSVEP) has attracted more and more attention in the field of BCI due to its advantages such as high information transfer rate (ITR) and little user training. Therefore, this paper reviews the status of the braincontrolled wheelchairs driven by SSVEP-based BCIs, describing the users, control methods, the feature extraction and classification methods used for the brain-controlled wheelchairs, and system performance evaluation. Finally, this paper discusses the current challenges and future research directions in this field.