Steep and long slope is an obvious characteristic of mountainous highways. Unreasonable acceleration or deceleration of the vehicles on the slopes will increase the fuel consumption. Improving the performance of the engine or the transmission system has limited energy saving potential, and most fuel-efficient driving assistant systems don’t consider the road conditions. The main purpose of this paper is to introduce an economic driving strategy to optimize vehicle speed profile for commercial vehicles traveling in mountainous areas with consideration of future road conditions. Economic driving strategy based on the energy conservation principle can adapt to various vehicles due to its less dependence on the engine fuel consumption characteristics. The engine brake performance measurement based on the vehicle longitudinal dynamics is achieved by analyzing the vehicle state information during transportation, which reduces the test times in the laboratory or the proving ground. Economic driving strategy will plan optimal speed profiles for commercial vehicles with consideration of future road conditions before the vehicles reach the slopes. Economic driving strategy guides the drivers to adjust vehicle speed reasonably, distribute effectively braking distance of the engine brake and the friction brakes on the slopes. The engine output energy and the brake energy loss can be reduced for improving the vehicle energy utilization rate when the drivers follow economic driving guidance. Semi-physical simulations were carried out to validate the effectiveness of economic driving strategy. The simulation results showed that economic driving strategy could increases the fuel economy by 3.4% to 5.5% averagely compared with the drives without economic guidance. The transportation cost and the abrasions of the friction brakes will be effectively reduced when economic driving strategy is applied to advanced driving assistance systems.
Skip Nav Destination
ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 6–9, 2017
Cleveland, Ohio, USA
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-5815-8
PROCEEDINGS PAPER
Economic Driving Strategy for Commercial Vehicles in Mountainous Areas
Xianyao Ping,
Xianyao Ping
Wuhan University of Technology, Wuhan, China
Search for other works by this author on:
Gangfeng Tan,
Gangfeng Tan
Wuhan University of Technology, Wuhan, China
Search for other works by this author on:
Jialiang Liu,
Jialiang Liu
Wuhan University of Technology, Wuhan, China
Search for other works by this author on:
Zilin Lu,
Zilin Lu
Wuhan University of Technology, Wuhan, China
Search for other works by this author on:
Yuxin Pang,
Yuxin Pang
Wuhan University of Technology, Wuhan, China
Search for other works by this author on:
Yahui Wu,
Yahui Wu
Wuhan University of Technology, Wuhan, China
Search for other works by this author on:
Renjie Zhou,
Renjie Zhou
Wuhan University of Technology, Wuhan, China
Search for other works by this author on:
Chenyu Wang,
Chenyu Wang
Wuhan University of Technology, Wuhan, China
Search for other works by this author on:
Lei Zuo
Lei Zuo
Virginia Tech, Blacksburg, VA
Search for other works by this author on:
Xianyao Ping
Wuhan University of Technology, Wuhan, China
Gangfeng Tan
Wuhan University of Technology, Wuhan, China
Jialiang Liu
Wuhan University of Technology, Wuhan, China
Zilin Lu
Wuhan University of Technology, Wuhan, China
Yuxin Pang
Wuhan University of Technology, Wuhan, China
Yahui Wu
Wuhan University of Technology, Wuhan, China
Renjie Zhou
Wuhan University of Technology, Wuhan, China
Chenyu Wang
Wuhan University of Technology, Wuhan, China
Lei Zuo
Virginia Tech, Blacksburg, VA
Paper No:
DETC2017-68378, V003T01A001; 8 pages
Published Online:
November 3, 2017
Citation
Ping, X, Tan, G, Liu, J, Lu, Z, Pang, Y, Wu, Y, Zhou, R, Wang, C, & Zuo, L. "Economic Driving Strategy for Commercial Vehicles in Mountainous Areas." Proceedings of the ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 3: 19th International Conference on Advanced Vehicle Technologies; 14th International Conference on Design Education; 10th Frontiers in Biomedical Devices. Cleveland, Ohio, USA. August 6–9, 2017. V003T01A001. ASME. https://doi.org/10.1115/DETC2017-68378
Download citation file:
31
Views
Related Proceedings Papers
Related Articles
A Multirate, Multiscale Economic Model Predictive Control Approach for Velocity Trajectory Optimization of a Heavy Duty Truck
J. Dyn. Sys., Meas., Control (March,2021)
Adaptive Continuously Variable Compression Braking Control for Heavy-Duty Vehicles
J. Dyn. Sys., Meas., Control (September,2002)
Nonlinear Vehicle Dynamics and Trailer Steering Control of the TowPlow, a Steerable Articulated Snowplowing Vehicle System
J. Dyn. Sys., Meas., Control (August,2015)
Related Chapters
The Effect of Vehicle-Road Interaction on Fuel Consumption
Vehicle-Road Interaction
Simulation of Braking on Split Roads Based on Steering Stabilty Control
International Conference on Computer Engineering and Technology, 3rd (ICCET 2011)
Power-Efficient Multicast Ad Hoc On-Demand Distance Vector Routing Protocol
International Conference on Electronics, Information and Communication Engineering (EICE 2012)