Open AccessAlgorithmic and Simulated Based Transmission Ratio Optimization of A Two-Speed Electric Vehicle For Car-sharing
Author(s) -
Jun Ma,
Lei Wu,
Zaiyan Gong,
Yun Cao
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/782/3/032074
Subject(s) - electric vehicle , automotive engineering , genetic algorithm , computer science , reduction (mathematics) , battery (electricity) , transmission (telecommunications) , electric cars , driving cycle , car sharing , fuel efficiency , simulation , engineering , power (physics) , transport engineering , telecommunications , physics , geometry , mathematics , quantum mechanics , machine learning
This paper proposes an approach to optimize the fuel economy of a two-speed electric vehicle (EV) in car sharing business through Genetic Algorithm and ADVISOR co-simulation. The ADVISOR simulation model built including dynamics, fuel cell, storage battery and motor. Under NEDC working condition, the two-speed gearboxmodeled, modeled and the optimal combination of transmission ration and main reduction ratio is found by genetic algorithm to improve fuel economy.