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作 者:罗勇[1,2] 刘莉 谭伟 叶明[1] 尹燕丽[3] 刘俊龙 Luo Yong1,2,Liu Li1, Tan Wei1, Ye Ming1, Yin Yanli3, Liu Junlong4(1. Chongqing University of Technology, Key Laboratory of Advanced Manufacturing Technology for Automobile Parts, Chongqing 400054;2. China Automotive Engineering Research Institute Co., Ltd., State Key Laboratory of Vehicle NVH and Safety Technology, Chongqing 400054;3. School of Mechanotronics,Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400054;4. Chongqing University, State Key Laboratory of Mechanical Transmission, Chongqing 40005)
机构地区:[1]重庆理工大学汽车零部件先进制造技术教育部重点实验室,重庆400054 [2]中国汽车工程研究院股份有限公司汽车噪声振动和安全技术国家重点实验室,重庆400054 [3]重庆交通大学机电与车辆工程学院,重庆400054 [4]重庆大学机械传动国家重点实验室,重庆400054
出 处:《汽车工程》2018年第4期396-404,共9页Automotive Engineering
基 金:国家自然科学基金(51305475);重庆市教委科学技术研究项目(KJ1500927);汽车噪声振动和安全技术国家重点实验室2017年度开放基金(NVHSKL-201702);重庆市重点产业共性关键技术创新专项(cstc2015zdcy-ztzx60013)资助
摘 要:鉴于传统的APU控制策略只关注使发动机工作在其效率最高点,而未考虑发电机效率对系统效率的影响,本文中在分析APU中发动机效率与发电机效率之间耦合关系的基础上,提出了发动机与发电机联合工作效率最佳的APU控制策略,并设计优化算法对不同功率需求下发动机与发电机联合高效工作的目标转速和转矩进行优化。建立系统仿真模型,对综合考虑发动机与发电机效率的APU控制策略和传统的APU控制策略进行仿真对比和固定发电功率需求下的台架试验验证。结果表明,不同功率需求下新的控制策略可提高系统效率1%~4%左右。In view of that the traditional APU control strategy only pays attention to making engine works on its maximum efficiency points without considering the effects of generator efficiency on the overall efficiency of system,an APU control strategy for achieving best efficiency in the cooperation of engine and generator is proposed on the basis of the analysis on the coupling relationship between the efficiencies of engine and generator in APU,and an optimization algorithm is devised to optimize the target speed and torque with highly efficient cooperation of engine and generator under different power demands. System simulation model is established and a contrastive simulation on the APU control strategy with concurrent consideration of efficiencies of both engine and generator and traditional APU control strategy and a bench test verification at fixed generator power demand are carried out. The results indicate that the novel control strategy can enhance system efficiency by around 1%-4% under different power demands.
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