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A Gear Shifting Indication Strategy of Eco-Driving Vehicle
Technical Paper
2020-01-0966
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The current indication strategies of gear shifting indication system for manual transmission vehicles are developed based on the gear shifting strategies of the automatic transmission vehicles. In this paper, it is found that the gear shifting frequency of automatic transmission vehicles is significantly higher than that of manual transmission vehicles based on the collected driving data of several automatic transmission and manual transmission vehicles, which increases the fatigue of drivers. Aiming at this problem, this paper proposes an interval algorithm of gear shifting indication strategy based on the fuel consumption rate of engine, which uses genetic algorithm to process the data of fuel consumption rate to find the maximum and minimum values in the interval of torque and engine speed and adopts the interval algorithm to transform the search of least fuel consumption value into the seeking of optimal interval to avoid the shift busyness caused by the sudden change of fuel consumption rate. The gear shifting tolerance is defined to avoid the shift busyness while the evaluation function values for a pair of adjacent gears are close in some working conditions. Then the model of gear shifting indication strategy is established in Matlab/Simulink and simulated under the WLTP cycle. The simulation results show that compared with the existing economical gear shifting strategies, the proposed interval algorithm of gear shifting indication strategy can effectively reduce the frequency of shifting gears without the increase of fuel consumption. Finally, a gear shifting indicator is produced and several road tests are done with a truck to verify the saving of fuel consumption for the interval algorithm of gear shifting indication strategy. The test results show that the indication strategy reduces the fuel consumption of the truck by 5% on average.
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Citation
He, R. and Hu, N., "A Gear Shifting Indication Strategy of Eco-Driving Vehicle," SAE Technical Paper 2020-01-0966, 2020, https://doi.org/10.4271/2020-01-0966.Data Sets - Support Documents
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References
- Zhang , L. , Zhang , X. , Han , Z. et al. A Novel Multi-Parameter Coordinated Shift Control Strategy for an Automated Manual Transmission Based on Fuzzy Inference Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 231 5 684 699 2016 10.1177/0954407016662579
- Wang , J. , Wang , J. , Wang , Q. et al. Control Rules Extraction and Parameters Optimization of Energy Management for Bus Series-Parallel AMT Hybrid Powertrain Journal of the Franklin Institute 355 5 2283 2312 2018 10.1016/j.jfranklin.2017.12.039
- Miao , C. , Liu , H. , and Zhu , G.G. Three-Parameter Transmission Gear-Shifting Schedule for Improved Fuel Economy Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 232 4 521 533 2018 10.1177/0954407017703234
- Eckert , J.J. , Corrêa , F.C. , Santiciolli , F.M. et al. Vehicle Gear Shifting Strategy Optimization with Respect to Performance and Fuel Consumption Mechanics Based Design of Structures and Machines 44 1 123 136 2016 10.1080/15397734.2015.1094669
- Casavola , A. , Prodi , G. , and Rocca , G. Efficient Shift Strategies for Green Driving Policies the 2010 American Control Conference Baltimore, MD June 30-July 2, 2010 10.1109/ACC.2010.5530832
- Lu , X. , Li , Z. , Guo , L. , Gao , B. et al. Optimization of Gearshift MAP Based on DP for Vehicles with Automated Transmission Science China (Information Sciences) 61 11 247 249 2018 10.1007/s11432-017-9317-x
- He , C.R. , Qin , W.B. , Ozay , N. et al. Optimal Gear Shift Schedule Design for Automated Vehicles: Hybrid System Based Analytical Approach IEEE Transactions on Control Systems Technology 26 6 1 13 2018 10.1109/TCST.2017.2747506
- Mashadi , B. , Amiri-Rad , Y. , Afkar , A. et al. Simulation of Automobile Fuel Consumption and Emissions for Various Driver’s Manual Shifting Habits Journal of Central South University 21 3 1058 1066 2014 10.1007/s11771-014-2037-x
- Moore , R.E. Interval Analysis Englewood Cliffs Prentice-Hall 1966 15 18 10.1007/978-1-4471-0249-6_2
- Kearfott , R.B. Introduction to Interval Analysis Philadelphia Society for Industrial and Applied Algorithm 2009 44 45 10.1137/1.9780898717716
- Vaccaro , A. , Canizares , C.A. , and Bhattacharya , K. A Interval Arithmetic-Based Optimization Model for Power Flow Analysis Under Interval Uncertainty IEEE Transactions on Power Systems 28 2 1179 1186 2013 10.1109/tpwrs.2012.2214405
- Anselmi , N. , Manica , L. , Rocca , P. et al. Tolerance Analysis of Antenna Arrays through Interval Arithmetic IEEE Transactions on Antennas and Propagation 61 11 5496 5507 2013 10.1109/tap.2013.2276927
- Ngan , H. , Zhang , C. , and Chen , H. Reactive Power Optimization Considering Wind Farms Based on an Optimal Scenario Method IET Generation, Transmission & Distribution 10 15 3736 3744 2016 10.1049/iet-gtd.2016.0036
- Ahmed , A. , Zhao , C.L. , Han , K. et al. Using Design of Experiment and Genetic Algorithm to Obtain the Optimum Shift Strategy for a Real Driving Cycles Applied Mechanics and Materials 244 497 503 2012 10.4028/www.scientific.net/AMM.22