In order to reduce the delay and energy consumption of pure electric buses at the intersection in the connected vehicle environment, this paper proposes a signal control optimization model considering the ecological speed guidance of pure electric buses. Firstly, based on the energy consumption mode and characteristics of pure electric bus and the ecological driving strategy in the process of acceleration and deceleration, the model is constructed with the objective function of minimizing the energy consumption, on-time rate, passenger delay and social vehicle delay of pure electric bus, and considering the constraints including motion state, station service time and signal timing. Next, for this dynamic programming problem, the NSGA-II algorithm is constructed to solve the optimal subproblem for the multi-objective optimization problem under dynamic planning. Finally, three consecutive intersections along Xinhua West Road in Tangshan City are taken as examples for analysis. The results show that compared with before the optimization, the average bus delay at the intersections on the main road after optimization can be reduced by 18.91%, the average social vehicle delay can be reduced by 13.08%, and the bus energy consumption in the control area can be reduced by 15.63%. Compared with the control scheme that does not consider energy consumption optimization. The proposed model can reduce energy consumption by 22.13% and the bus delay and social vehicle delay increase by no more than 3 s, which has a good effect.