Adaptive Cruise Control for Electric Bus based on Model Predictive Control with Road Grade Prediction

Adaptive Cruise Control (ACC) makes the driving experience safer and more pleasurable. To comprehensively deal with tracking capability and energy consumption issue of ACC-activated vehicle on rugged roads, this paper presents a MPC based vehicular following control algorithm with road grade prediction. A simulation model of ACC for electric bus based on MPC is built for analysing the performance of the algorithm. The simulation results show that road grade prediction can improve improves both energy consumption and tracking capability.

[1]  Thomas Connolly,et al.  The Predictive Cruise Control – A System to Reduce Fuel Consumption of Heavy Duty Trucks , 2004 .

[2]  Junmin Wang,et al.  A Parallel Hybrid Electric Vehicle Energy Management Strategy Using Stochastic Model Predictive Control With Road Grade Preview , 2015, IEEE Transactions on Control Systems Technology.

[3]  Gamal N. Elnagar,et al.  The pseudospectral Legendre method for discretizing optimal control problems , 1995, IEEE Trans. Autom. Control..

[4]  Hong Wang,et al.  High-Precision Hydraulic Pressure Control Based on Linear Pressure-Drop Modulation in Valve Critical Equilibrium State , 2017, IEEE Transactions on Industrial Electronics.

[5]  Jianqiang Wang,et al.  Model Predictive Multi-Objective Vehicular Adaptive Cruise Control , 2011, IEEE Transactions on Control Systems Technology.

[6]  Jianqing Wu,et al.  Effect of Road Characteristics and Driving Cycles on Accident Risk on Full-Access-Control Highways , 2017 .

[7]  Andrzej Ordys,et al.  Nonlinear Model Predictive Control approach in design of Adaptive Cruise Control with automated switching to cruise control , 2014 .

[8]  Kanok Boriboonsomsin,et al.  Impacts of Road Grade on Fuel Consumption and Carbon Dioxide Emissions Evidenced by Use of Advanced Navigation Systems , 2009 .

[9]  Yang Zheng,et al.  Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities , 2017, IEEE Intelligent Transportation Systems Magazine.

[10]  Duk-Geun Yun,et al.  Test of Global Positioning System–Inertial Measurement Unit Performance for Surveying Road Alignment , 2012 .

[11]  Shengbo Eben Li,et al.  A Unified Pseudospectral Computational Framework for Optimal Control of Road Vehicles , 2015, IEEE/ASME Transactions on Mechatronics.

[12]  Kunsoo Huh,et al.  Development of estimation algorithms for vehicle’s mass and road grade , 2013 .

[13]  Guido Herrmann,et al.  Gradient and Mass Estimation from CAN Based Data for a Light Passenger Car , 2015 .

[14]  Petros A. Ioannou,et al.  Evaluation of ACC vehicles in mixed traffic: lane change effects and sensitivity analysis , 2005, IEEE Transactions on Intelligent Transportation Systems.

[15]  Carlo Novara,et al.  Evaluation and Optimization of Adaptive Cruise Control Policies Via Numerical Simulations , 2016, VEHITS.

[16]  Yugong Luo,et al.  Downhill safety assistance control for hybrid electric vehicles based on the downhill driver’s intention model , 2015 .

[17]  J. Christian Gerdes,et al.  ROAD GRADE AND VEHICLE PARAMETER ESTIMATION FOR LOGITUDINAL CONTROL USING GPS. , 2001 .

[18]  Petros A. Ioannou,et al.  Mixed Manual/Semi-Automated Traffic: A Macroscopic Analysis , 2001 .

[19]  Jianqiang Wang,et al.  MPC based vehicular following control considering both fuel economy and tracking capability , 2008, 2008 IEEE Vehicle Power and Propulsion Conference.

[20]  H. Christopher Frey,et al.  Road Grade Measurement Using In-Vehicle, Stand-Alone GPS with Barometric Altimeter , 2013 .

[21]  Yichang Tsai,et al.  Mobile Cross-Slope Measurement Method Using Lidar Technology , 2013 .

[22]  Payman Shakouri,et al.  Adaptive cruise control with stop&go function using the state-dependent nonlinear model predictive control approach. , 2012, ISA transactions.

[23]  S. Tsugawa An overview on energy conservation in automobile traffic and transportation with ITS , 2001, IVEC2001. Proceedings of the IEEE International Vehicle Electronics Conference 2001. IVEC 2001 (Cat. No.01EX522).