Life cycle assessment (LCA) is the most widely used tool for the environmental evaluation of system and its capabilities no need to be proved. However, there are still several limitations in its theory and application, including the lack of temporal dimension and spatial dimensionin its inventories and impact methods. These limitations mainly include ignoring the changes of products and energy systems over time; the use of static and outdated historical inventory data instead of time-based life cycle inventory (LCI) data; and lacking thechoose and calculation methods of the dynamic characteristics factors inimpact assessment. Dynamic life cycle assessment (DLCA) is an evaluation method of modeling ofdynamic processfor the industrial and environmental system with temporal and spatial dimensional change, which can accurately and scientifically improves the traditional life cycle assessment results. This paper summarized the present studies on the DLCA in three parts:dynamic modeling and analysis using time information as an uncertain factor; dynamic data extraction methods of production process or pollutant emissions based on real time; impact assessment methods of dynamic characteristic factors on the basis of time differentiation. At present, the DLCA method doesn't have uniform framework. Besides, there is no scientific mathematical model and software for time-differentiated LCI calculation and modeling solution for life cycle impact assessment. So this paper will provide an outlook of the future development of DLCA in order to support for the research, application, development and improvement of LCA method.