Method for Switching between Traction and Brake Control for Speed Profile Optimization in Mountainous Situations

Making full use of front road grade information to achieve the best fuel efficiency is important for intelligent vehicles. Normal theoretical studies pay too much attention to engine continuous feedback control. The theoretical foundation of switching between traction and brake control has been ignored. In mountainous terrain, both the engine and road slopes are energy sources. Switching between traction and brake control is the key point. This research focuses on broadening the normal control range. The comprehensive objective function that contains traction and brake control is built, and then the analytical switching control law is derived based on Pontryagin’s maximum principle (PMP). Analytical switching control laws express the mechanism of switching between traction and brake control for economic cruise control (ECC). Simulation results show that the model can solve the switch time and the entire speed profile precisely. Brake control is very important in downhill situations. The parameters in the objective function influence not only the switch time but also the switch process. This research offers a theoretical foundation for ECC with road slopes and can make onboard control more precise and efficient.

[1]  Bo Cheng,et al.  Instantaneous Feedback Control for a Fuel-Prioritized Vehicle Cruising System on Highways With a Varying Slope , 2017, IEEE Transactions on Intelligent Transportation Systems.

[2]  Abbas Z. Kouzani,et al.  Combined quasi-static backward modeling and look-ahead fuzzy control of vehicles , 2012, Expert Syst. Appl..

[3]  A. B. Schwarzkopf,et al.  Control of highway vehicles for minimum fuel consumption over varying terrain , 1977 .

[4]  Lars Nielsen,et al.  Look-ahead control — consequences of a non-linear fuel map on truck fuel consumption , 2008 .

[5]  L. Nielsen,et al.  Optimal Control Utilizing Analytical Solutions for Heavy Truck Cruise Control , 2008 .

[6]  Olaf Stursberg,et al.  Combined time and fuel optimal driving of trucks based on a hybrid model , 2009, 2009 European Control Conference (ECC).

[7]  Dimitar Filev,et al.  Velocity profile optimization of on road vehicles: Pontryagin's Maximum Principle based approach ☆ , 2017 .

[8]  Chaozhe R. He,et al.  Fuel Consumption Optimization of Heavy-Duty Vehicles With Grade, Wind, and Traffic Information , 2016 .

[9]  Jan Åslund,et al.  Optimal Speed on Small Gradients - Consequences of a Non-Linear Fuel Map , 2008 .

[10]  Andrzej Ordys,et al.  Intelligent Predictive Cruise Control Application Analysis for Commercial Vehicles based on a Commercial Vehicles Usage Study , 2013 .

[11]  Erik Hellström,et al.  Explicit Fuel Optimal Speed Profiles for Heavy Trucks on a Set of Topographic Road Profiles , 2006 .

[12]  Ermin Kozica Look Ahead Cruise Control: Road Slope Estimation and Control Sensitivity , 2005 .

[13]  Edward K. Morlok,et al.  Vehicle Speed Profiles to Minimize Work and Fuel Consumption , 2005 .

[14]  Saeid Nahavandi,et al.  Adaptive cruise control look-ahead system for energy management of vehicles , 2012, Expert Syst. Appl..

[15]  Erik Hellström,et al.  A Real-Time Fuel-Optimal Cruise Controller for Heavy Trucks using Road Topography Information , 2006 .

[16]  Erik Hellström,et al.  Design of an efficient algorithm for fuel-optimal look-ahead control , 2010 .