Predictive Ecological Control: Using Road Terrain and Traffic Signal Information for Improving Vehicle Energy Efficiency

This paper proposes a predictive ecological control (PEC) strategy to improve the energy efficiency of electric vehicle (EV) which approaches to an intersection with traffic light. By using the traffic signal information, the range of average cruising speed which avoids stopping is determined. Within the vehicle speed range, the cruising velocity is optimized by dynamic programming to reduce the energy loss while driving on highway with varying slops. Three case studies, cruising without information, with signal information and PEC are simulated. The results indicate the significant energy efficiency improvement of PEC and its potential impact on trip time.

[1]  Paul A. Jennings,et al.  A Generalized Powertrain Design Optimization Methodology to Reduce Fuel Economy Variability in Hybrid Electric Vehicles , 2014, IEEE Transactions on Vehicular Technology.

[2]  Guoyuan Wu,et al.  GlidePath: Eco-Friendly Automated Approach and Departure at Signalized Intersections , 2017, IEEE Transactions on Intelligent Vehicles.

[3]  Hao Li,et al.  The Analysis of CO2 Emissions and Reduction Potential in China’s Transport Sector , 2016 .

[4]  Benoist Thirouard,et al.  Using Multiple Injection Strategies in Diesel Combustion: Potential to Improve Emissions, Noise and Fuel Economy Trade-Off in Low CR Engines , 2008 .

[5]  Peter H. Bauer,et al.  Spatiotemporal Energy Demand Models for Electric Vehicles , 2016, IEEE Transactions on Vehicular Technology.

[6]  Xiaowu Zhang,et al.  Comparison of multi-mode hybrid powertrains with multiple planetary gears , 2016 .

[7]  Chao Sun,et al.  Robust Optimal ECO-driving Control with Uncertain Traffic Signal Timing , 2018, 2018 Annual American Control Conference (ACC).

[8]  P. Portney,et al.  Policy Watch: The Economics of Fuel Economy Standards , 2003 .

[9]  Seung-Woo Seo,et al.  Real-Time Optimization for Power Management Systems of a Battery/Supercapacitor Hybrid Energy Storage System in Electric Vehicles , 2014, IEEE Transactions on Vehicular Technology.

[10]  Ilse Cervantes,et al.  On the Design of Robust Energy Management Strategies for FCHEV , 2015, IEEE Transactions on Vehicular Technology.

[11]  Jian Song,et al.  A Model-Predictive-Control-Based Torque Demand Control Approach for Parallel Hybrid Powertrains , 2013, IEEE Transactions on Vehicular Technology.

[12]  Peter H. Bauer,et al.  Energy Aware Driving: Optimal Electric Vehicle Speed Profiles for Sustainability in Transportation , 2019, IEEE Transactions on Intelligent Transportation Systems.

[13]  Ching Chuen Chan,et al.  Electric, Hybrid, and Fuel-Cell Vehicles: Architectures and Modeling , 2010, IEEE Transactions on Vehicular Technology.