Analysis of Uncertainty Impacts on Emissions and Fuel Economy Evaluation for Chassis Dynamometer Testing

Russo, Miriam Di; Stutenberg, Kevin; Hall, Carrie M.

doi:10.1109/tvt.2022.3222650

Cited by 3 publications

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, fuel cell hybrid electric city buses (FCHEB) are spotlighted for their potential to establish an eco-friendly and sustainable public transportation system in urban areas. The FCHEB can operate the fuel cell and battery in high-efficiency areas and utilize regenerative braking, which recovers kinetic energy [3]. For instance, FCHEB models like Hyundai's Elec-city and Universe have been introduced to the market [4].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Model Predictive Control Based Adaptive Equivalent Consumption Minimization Strategy for Fuel Cell Electric Bus Considering Average Travel Speed

Lee,

Lee

2023

IEEE Access

View full text Add to dashboard Cite

This paper presents nonlinear model predictive control based adaptive equivalent consumption minimization strategy for fuel cell hybrid electric bus. The proposed strategy considers the average travel speed profile of road segments in route of fuel cell hybrid electric bus. The proposed nonlinear model predictive control based adaptive equivalent consumption minimization strategy determines the optimal control input by considering the battery currentrate and the fuel cell balance-of-plant. The nonlinear model predictive control based adaptive equivalent consumption minimization strategy consists of three main stages: the data pre-processing stage, the nonlinear model predictive control stage, and the adaptive equivalent consumption minimization strategy stage. In the data preprocessing stage, reference power trajectory is generated while considering the response time of the fuel cell hybrid electric bus. In the nonlinear model predictive control stage, the reference state of charge trajectory is generated by considering the battery current-rate and the fuel cell balance-of-plant. In the adaptive equivalent consumption minimization strategy stage, the optimal control input is determined to minimize instantaneous equivalent fuel consumption by considering the reference state of charge trajectory. The proposed energy management system is compared with dynamic programming using actual bus route based real-driving scenarios. The comparison results demonstrate that the proposed energy management system can generate control inputs that are similar to the global optimal solution calculated by dynamic programming with a reasonable computation time.INDEX TERMS Nonlinear Programming (NLP), model predictive control (MPC), equivalent consumption minimization strategy (ECMS), fuel cell hybrid electric vehicle (FCHEV), fuel cell hybrid electric bus (FCHEB), average travel speed.

show abstract

Section: Introductionmentioning

confidence: 99%