摘要
以燃料电池为主要动力系统的汽车将是未来汽车发展的主要途径。以能量混合型为主体的串连式混合动力系统将燃料电池,直流逆变器,蓄电池和电机并联于母线上,能量将在这些部件中实现分配。为实现能量合理分配,本文首先以最小化燃料电池氢气消耗量和蓄电池SOC与目标SOC相差最小为目标函数,然后使用遗传算法对能量分配进行了优化并制成MAP图,最后对AD-VISOR汽车动力构型软件进行二次开发,使用优化MAP图对其进行了仿真,验证这种优化策略在应用上的可行性。
Fuel-cell bus replacing traditional bus as traffic tools is the trend for cars. Serial energy hybrid powertrain connects fuel-ceil, DC/DC, storage ceil and motor with a bus line, and energy is to be distributed among them. For realizing optimal energy management, firstly, the target function is formed for minimizing hydrogen usage and the error between SOC（state of curent） of storage and target SOC of storage cell. Then, the real-code genetic algorithm and simulative anneal algorithm are combined to optimize the target function for generating energy MAP database. Finally, based on ADVISOR which is a bus power-train software, simulation of the energy manager is carried out to validate our new optimal method.
出处
《机械科学与技术》
CSCD
北大核心
2007年第11期1471-1474,共4页
Mechanical Science and Technology for Aerospace Engineering
关键词
燃料电池客车
优化
能量分配
遗传算法
fuel-cell bus
optimization
energy distribution
genetic algorithm
