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作 者:宋东方[1] 武照云[2] 李丽[1] SONG Dong-fang;WU Zhao-yun;LI Li(Department of Automobile Engineering,He,nan Polytechnic,He'nan Zhengzhou 450046,China;School of Mechanical&Electrical Engineering,He'nan University of Technology,He'nan Zhengzhou 450001,China)
机构地区:[1]河南职业技术学院汽车工程学院,河南郑州450046 [2]河南工业大学机电工程学院,河南郑州450001
出 处:《机械设计与制造》2022年第8期247-251,257,共6页Machinery Design & Manufacture
基 金:河南省科技攻关计划项目(192102310447,192102210053);河南省高等学校重点科研项目(19A210009,20B210001);河南省高等学校青年骨干教师培养计划项目(2018GGJS224)。
摘 要:针对重型车辆用油-电混合动力传动总成系统进行了匹配设计,采用遗传算法优化了混合动力总成参数。设计了采用柴油机、超级电容和电动机组成的电驱动系统的控制策略和神经网络控制系统,研究了SOC均衡策略下功率分配策略的运行结果。实验结果表明:优化后的超级电容SOC均保持在较高范围内,混合动力系统各部分功率分配合理,发动机工作点分布在高效区,燃油效率得到了提升。测试结果验证了所匹配的动力系统和所开发的控制策略的有效性,为混合动力系统的开发提供了数据参考。The matching design of the oil-electric hybrid powertrain system for heavy vehicles was carried out,and the genetic algorithm was used to optimize the hybrid powertrain parameters.The control strategy and neural network control system of the electric drive system composed of diesel engine,super capacitor and electric motor are designed,and the operation results of the power allocation strategy under the SOC equilibrium strategy are studied.The experimental results show that the optimized supercapacitor SOCs are kept in a relatively high range,the power distribution of each part of the hybrid system is reasonable,the engine operating points are distributed in the high efficiency region,and the fuel efficiency is improved.The test results verify the effectiveness of the matched power system and the developed control strategy,and provide a data reference for the development of hybrid power systems.
分 类 号:TH16[机械工程—机械制造及自动化]
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