Modular parallel capacity-increase technology has the advantages of plug and play, flexible installation and so on, which has become an important development direction of high power converters. However, the traditional centralized control to add auxiliary communication network, a distributed control structure of loop bandwidth, slow response, low in application in the strong random, volatile new energy grid system has many problems. In this paper, we proposed a segmented predictive current control (SPCC) method. Firstly, a unified zero-sequence model of multi-module parallel system is established, and the dynamic behavior of zero-sequence current is compared and analyzed. On this basis, the discrete prediction model of the system is derived and the SPCC method is designed. In each control period, the voltage vector is decomposed into two parts, including the base voltage vector and the zero voltage vector, to meet the requirements of fixed switching frequency and improve the flexibility of the prediction architecture. Furthermore, the value function satisfying ac-straight axis current tracking and zero-sequence current suppression was constructed, and the principle of optimal voltage vector selection and duty cycle calculation were formulated. Finally, the proposed SPCC method is experimentally verified and analyzed based on a double 45kW test prototype. Compared with the traditional technology, the proposed method has many advantages such as fixed switching frequency and better output current, and the control system meets the characteristics of decentralized and non-interconnected.