For the charging efficiency of mobile energy transmitter(ET) in RF energy harvesting wireless sensor network(RFEH-WSN),the existing work mainly assumes that the charging radiation range of mobile ET is circular, and the charging radiation range of mobile ET is usually set as a sector at a certain angle in practical applications. Aiming at the application scenario of directed mobile ET, this paper proposed a new multiple object model,and the optimization aims of the model are to minimize the charging time and to maximize the coverage, and uses Particle Swarm Optimization? to solve the optimal Pareto solution set. The results of simulation experiments show that the multi-objective optimization algorithm proposed in this paper can effectively improve the charging efficiency of mobile ET and is more suitable for nonlinear model.