The fuel economy is critical in the operation of commercial vehicles. An MPC-based predictive cruise control (PCC) scheme with multiple objectives is used to control the longitudinal behavior of the vehicle, which can effectively utilize recorded road slope to solve the optimal control to achieve better performance than PID-Based cruise control. The fuel economy of different driving tasks with different target speeds, loads, and roads are simulated on TruckSim. In addition, the effects of the prediction horizon length on fuel-saving potential are analyzed. The simulation results showed that the proposed PCC algorithm can effectively improve the fuel economy and meet the desired travel time for different cruising tasks irrespective of the vehicle load. The fuel-saving potential increases with a longer prediction horizon, reaching an average of 3.43%.
Fuel Efficient Predictive Cruise Control for Commercial Vehicles with Load Variation
Lect. Notes Electrical Eng.
International Conference on Intelligent Transportation Engineering ; 2021 ; Beijing, China October 29, 2021 - October 31, 2021
2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021) ; Chapter : 80 ; 913-925
2022-06-01
13 pages
Article/Chapter (Book)
Electronic Resource
English
Fuel Efficient Predictive Cruise Control for Commercial Vehicles with Load Variation
British Library Conference Proceedings | 2022
|A Simplified Fuel Efficient Predictive Cruise Control Approach
SAE Technical Papers | 2015
|A Simplified Fuel Efficient Predictive Cruise Control Approach
British Library Conference Proceedings | 2015
|