TY - GEN
T1 - Parameter optimization of hydraulic hybrid vehicle based on genetic algorithm
AU - Liu, Tao
AU - Ju, Xuezhen
PY - 2010
Y1 - 2010
N2 - The working principle of hydrostatic hybrid vehicles(HHV) is discussed. A number of factors affecting the efficiency of hydrostatic transmission hybrid system are discussed. The mathematical model is established by using braking energy recovery capacity, power, fuel economy and vehicle cost as objective function, system parameters are used as the independent variables, and the multi-objective optimization process is compiled in MATLAB. The process takes the genetic algorithm (GA) as the optimization method, obtains the best system parameters through computing, and verifies the accuracy of optimization resultsthrough simulation.
AB - The working principle of hydrostatic hybrid vehicles(HHV) is discussed. A number of factors affecting the efficiency of hydrostatic transmission hybrid system are discussed. The mathematical model is established by using braking energy recovery capacity, power, fuel economy and vehicle cost as objective function, system parameters are used as the independent variables, and the multi-objective optimization process is compiled in MATLAB. The process takes the genetic algorithm (GA) as the optimization method, obtains the best system parameters through computing, and verifies the accuracy of optimization resultsthrough simulation.
KW - Automotive
KW - Genetic algorithm
KW - Parameter optimization
KW - Simulation
UR - https://www.scopus.com/pages/publications/78650763763
U2 - 10.4028/www.scientific.net/AMM.29-32.1079
DO - 10.4028/www.scientific.net/AMM.29-32.1079
M3 - 会议稿件
AN - SCOPUS:78650763763
SN - 9780878492459
T3 - Applied Mechanics and Materials
SP - 1079
EP - 1084
BT - Applied Mechanics and Mechanical Engineering
T2 - 2010 International Conference on Applied Mechanics and Mechanical Engineering, ICAMME 2010
Y2 - 8 September 2010 through 9 September 2010
ER -