The problem of applying the wireless charging equipment (WCE) for charging the sensor periodically is investigated in this paper, in which the charging energy and the traveling energy of the WCE are assumed limited. For each charging period, the total consumed energy of the WCE for charging and travelling is minimized when maximizing the charging period. In this way, the wireless recharging sensors network (WRSNs) can work permanently by using the minimum energy of the WCE. The optimization model of minimizing the energy of WCE is built based on analyzing the energy constraint of sensor nodes and the charging and travelling constraints of WCE. The charging problem is a NPComplete problem in this paper. Combining with the optimization model, the chaotic particle swarm optimization algorithm (CPSO) is applied to solving this optimization problem for getting the charging route of WCE and charging time of sensor node. Furthermore, six simulation scenes of WRSNs which are consisted of two kinds of data routing and three kinds of nodes distribution are designed. The convergence rates of CPSO is double the convergence rates of genetic algorithm (GA) at least.