Open AccessResearch on Optimal Shift Control Strategy of Two-speed AMT based on Fuzzy Control
Author(s) -
Ning Ma,
Ben-jiang Hou,
Yexuan Wang,
Kai Ren,
Shaoxin Chen,
Peng Wang,
Rongfeng Lin,
Jianyi Ji,
Yi-chun Ji,
Zhendong Han,
Chaohui Yang,
Lingmin Wang,
Nan Ye
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1575/1/012116
Subject(s) - control (management) , automotive engineering , torque , computer science , research object , electronic speed control , electric vehicle , power (physics) , quality (philosophy) , fuzzy logic , control theory (sociology) , engineering , artificial intelligence , philosophy , physics , electrical engineering , epistemology , quantum mechanics , regional science , thermodynamics , geography
For a two-speed AMT pure electric commercial vehicle, the pros and cons of the shift control strategy directly determine the overall vehicle performance of the electric vehicle, such as power and economy. This article takes a certain type of commercial pure electric vehicle equipped with a two-speed automatic transmission as the research object, formulates a dynamic shift rule based on the torque map of the motor, structures an economic shift rule based on the efficiency map, and identifies road gradient and Car load quality, comprehensive consideration of the car’s loading quality, road slope, accelerator pedal opening, accelerator pedal opening change rate, vehicle speed and other parameters for optimal shift control strategy formulation. Comparing the dynamic shift strategy with the economic shift strategy, simulation analysis results show that the optimized shift control strategy can meet the requirements of dynamic performance and has the advantages of economy and energy saving.