Robustly Integrated Design of Plug-in Fuel Cell Electric Buses Considering the Noise Disturbance

Plug-in fuel cell electric bus (PFCEB) is taken as one of the most promising technical ways for the sustainable and healthy development of the vehicles. However, the energy saving potential has not been exhaustively tapped, because of the limited integrated design (component matching design together with the energy management) level. This paper proposes a robustly integrated design method to address the issues. Firstly, a Taguchi robust design (TRD) method considering the noise of components, stochastic vehicle mass and historical driving cycles is proposed to find the robust design parameters that are suitable for different component matching and can resist the noise disturbance. Then, a component matching design zone reduced work is finished through analyzing the mechanism of action between components and the evaluation index, based on the TRD theory and the Sensitivity analysis method (SAM). Finally, a robust component matching design method is investigated by considering the noises, based on the Design for Six Sigma (DFSS) theory. The simulation results demonstrate that the TRD and DFSS methods are reasonable and applicable in the integrated design of PFCEB, where the robust component matching can be found; the energy economy of the proposed adaptive Pontryagin's Minimum Principle (A-PMP) based energy management strategy is better than the rule-based control strategy.

Automated summary

This paper proposes a robustly integrated design method to address the limited integrated design level of plug-in fuel cell electric buses (PFCEB). The method involves using Taguchi robust design (TRD) to find robust design parameters, analyzing the mechanism of action between components and the evaluation index, and considering noise in the component matching design. Simulation results demonstrate the effectiveness of the proposed methods, and show that the energy economy of the proposed adaptive Pontryagin's Minimum Principle (A-PMP) based energy management strategy is better than rule-based control.