Design Optimization of a Parallel Hybrid Electric Powertrain
作者： Wenzhong Gao , Sachin Kumar Porandla , None
DOI: 10.1109/VPPC.2005.1554609
关键词: Engineering 、 Electric vehicle 、 Rosenbrock function 、 Control engineering 、 Genetic algorithm 、 Driving cycle 、 Simulated annealing 、 Hybrid algorithm 、 Global optimization 、 Powertrain 、 Automotive engineering
摘要: The design of a hybrid electric vehicle (HEV) involves number variables that must be optimized for better fuel economy and performance. In this paper, global optimization algorithms-DIRECT (Divided RECTangles), simulated annealing, genetic algorithm are used the parallel vehicle. Powertrain system analysis toolkit (PSAT) is as simulator study. objective study to increase overall HEV on composite city highway driving cycle improve A also developed applied Rosenbrook's Banana Function examination its efficiency.
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