Shi, Haoyun (Shanghai Jiaotong University), Run, Chen (Shanghai Jiaotong University), Tie, Li (Shanghai Jiaotong University)

Fuel Cell Commercial Vehicle Modeling and Comparison of Different Energy Management Strategy

Scheduled for presentation during the Invited session "Advanced Control Technology for Electrified Powertrains" (FrA3), Friday, November 1, 2024, 08:50−09:10, Room T3

7th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, Oct 30 - Nov 1, 2024, Dalian, China

This information is tentative and subject to change. Compiled on January 2, 2025

Abstract

Fuel cell Commercial Vehicle is hybrid system with two energy sources: proton exchange membrane fuel cells and power batteries. Since the operation scenarios of fuel cell heavy trucks usually face the challenges of long operating distances and scarce hydrogen refueling stations, the optimization of the vehicle energy management strategy is very important. In this research, firstly the fuel cell Commercial Vehicle was modeled in detail, and all vehicle parameters were derived from real operating data. Then, three energy management strategies, rule-based strategy, ECMS strategy and dynamic programming strategy were used to complete the simulation of hydrogen consumption optimization based on the CHTC-TT driving cycle. Finally, in the conclusion, the three strategies were compared and analyzed.