Open AccessTransmission ratio optimization of two-speed gearbox in battery electric passenger vehicles
Author(s) -
Gui-Bin Sun,
Yi-Jui Chiu,
Wen-Yang Zuo,
Shen Zhou,
Jian-Chao Gan,
Ying Li
Publication year - 2021
Publication title -
advances in mechanical engineering/advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
eISSN - 1687-8140
pISSN - 1687-8132
DOI - 10.1177/16878140211022869
Subject(s) - automotive engineering , electric vehicle , software , battery (electricity) , transmission (telecommunications) , range (aeronautics) , gear ratio , schedule , acceleration , particle swarm optimization , driving range , continuously variable transmission , simulation software , power (physics) , manual transmission , simulated annealing , engineering , simulation , computer science , clutch , electrical engineering , physics , classical mechanics , quantum mechanics , machine learning , programming language , aerospace engineering , operating system , algorithm
To optimize the power and economic performance of battery electric passenger vehicles, an 8.5-m-long battery electric passenger vehicle was selected as the research subject. The simulated-annealing particle-swarm-optimization (SAPSO) algorithm was applied to optimize the two-speed gearbox and transmission ratio of the vehicle. With the opening of the accelerator pedal and speed as variables, a comprehensive gear shift schedule that considered both the power and economic performance was established. The comprehensive gear shift schedule curve was defined in the model built in the ADVISOR software. The transmission ratio was jointly optimized using the ADVISOR and ISIGHT software, and then the ADVISOR simulation software was used to analyze the economic and dynamic performances corresponding to the optimized transmission ratio. Finally, we compared the power and economic performances of the vehicle before and after transmission ratio optimization, the results of which showed that after the optimization, the maximum speed, climbing gradient, and 0–50 km/h acceleration time of the vehicle were greatly improved, and the driving range was slightly shortened. This enabled performance advantages of the battery electric passenger vehicle by balancing the power and economic performances of the vehicle.