TY - GEN
T1 - Research on Parameter Optimization of Tracked Vehicle Transmission System Based on Genetic Algorithm
AU - Wei, Lingjun
AU - Liu, Haiou
AU - Chen, Huiyan
AU - Zhao, Ziye
AU - Xu, Yi
AU - Zhang, Hongyan
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - The transmission system of tracked vehicle has great influence on the fuel economy and power performance of the whole vehicle. Its drivetrain parameter design is a multi parameter, multi-objective and nonlinear optimization problem, which is an important part of vehicle design. Based on the theoretical analysis of the optimization parameters and evaluation target, established the Smulink simulation model and normalization of tracked vehicle transmission system, according to the basic principle of genetic algorithm, computer simulation technology and optimization theory is applied to vehicle power transmission system parameter optimization design, the transmission ratio and the main reduction ratio as design variables, to guarantee the basis of fuel consumption as the target function to measure the tracked vehicle fuel economy, to the acceleration time and gradient optimization mathematical model of vehicle transmission system with a target shoe as constraint conditions. By comparing the optimization scheme and the original scheme, the traction characteristics and fuel economy are greatly improved. In the scheme, the objective function is greatly improved by improving the transmission ratio parameters of tracked vehicles, which proves that the optimization design method of tracked vehicles transmission system using genetic algorithm has been greatly improved.
AB - The transmission system of tracked vehicle has great influence on the fuel economy and power performance of the whole vehicle. Its drivetrain parameter design is a multi parameter, multi-objective and nonlinear optimization problem, which is an important part of vehicle design. Based on the theoretical analysis of the optimization parameters and evaluation target, established the Smulink simulation model and normalization of tracked vehicle transmission system, according to the basic principle of genetic algorithm, computer simulation technology and optimization theory is applied to vehicle power transmission system parameter optimization design, the transmission ratio and the main reduction ratio as design variables, to guarantee the basis of fuel consumption as the target function to measure the tracked vehicle fuel economy, to the acceleration time and gradient optimization mathematical model of vehicle transmission system with a target shoe as constraint conditions. By comparing the optimization scheme and the original scheme, the traction characteristics and fuel economy are greatly improved. In the scheme, the objective function is greatly improved by improving the transmission ratio parameters of tracked vehicles, which proves that the optimization design method of tracked vehicles transmission system using genetic algorithm has been greatly improved.
KW - Drive system
KW - Genetic algorithm
KW - Parameter optimization
KW - Tracked vehicle
UR - http://www.scopus.com/inward/record.url?scp=85065518736&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-15235-2_71
DO - 10.1007/978-3-030-15235-2_71
M3 - Conference contribution
AN - SCOPUS:85065518736
SN - 9783030152345
T3 - Advances in Intelligent Systems and Computing
SP - 487
EP - 495
BT - Cyber Security Intelligence and Analytics
A2 - Choo, Kim-Kwang Raymond
A2 - Hammoudeh, Mohammad
A2 - Parizi, Reza
A2 - Xu, Zheng
A2 - Dehghantanha, Ali
PB - Springer Verlag
T2 - International Conference on Cyber Security Intelligence and Analytics, CSIA 2019
Y2 - 21 February 2019 through 22 February 2019
ER -