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学者姓名:张红光
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Abstract :
压缩空气储能具有寿命长、成本低、环境污染小等优点而备受关注,然而压缩空气储能系统存在能量密度和效率低的问题,本工作提出了气动马达并联工作模式以提高压缩空气储能系统的输出功率、能量转换效率和经济性。通过对比分析了在气动马达并联工作和单独工作时,关键参数变化对气动马达输出功率、经济性和能量转换效率的影响规律。为了将微型压缩空气储能系统的膨胀机和压缩机一体化,本工作研究了气动马达正转和反转的性能。气动马达既作为膨胀机又作为压缩机,可以双模式运行,提高设备的利用率,降低压缩空气储能系统的成本。与可再生能源发电相结合的应用场景中,变工况运行是压缩空气储能系统面临的一个关键问题。以储气罐压力变化和负荷需求波动为代表的多种变工况条件在系统运行过程中常常同时存在,本工作在变工况条件下,通过试验研究了关键因素对压缩空气储能系统性能的影响情况。试验结果表明,采用气动马达并联工作模式可以提高压缩空气储能系统的输出功率、能量转换效率和经济性。当进气压力为10.5 bar(1 bar=100 kPa)时,气动马达和发电机输出功率的最大值约为660 W和380 W。
Keyword :
输出功率 输出功率 并联模式 并联模式 压缩空气储能系统 压缩空气储能系统 气动马达 气动马达
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GB/T 7714 | 许永红 , 吴玉庭 , 张红光 et al. 基于气动马达的微型压缩空气储能系统的试验研究 [J]. | 储能科学与技术 , 2023 , 12 (06) : 1854-1861 . |
MLA | 许永红 et al. "基于气动马达的微型压缩空气储能系统的试验研究" . | 储能科学与技术 12 . 06 (2023) : 1854-1861 . |
APA | 许永红 , 吴玉庭 , 张红光 , 杨富斌 , 王焱 . 基于气动马达的微型压缩空气储能系统的试验研究 . | 储能科学与技术 , 2023 , 12 (06) , 1854-1861 . |
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Abstract :
This study aims to improve the fuel economy of extended range electric vehicles (EREVs) and reduce the cumulative battery workload. Energy management strategy (EMS) of EREVs has a significant impact on improving the energy efficiency, prolonging the service life of batteries, and reducing the fuel consumption. To the best knowledge of the authors, most of existing studies are aimed at optimizing fuel economy, but few researches have taken the service life of the battery into account while improving fuel economy. Our study reflects the power fluctuation range of the battery from the perspective of the battery current, and also further analyzes it from the perspective of the battery energy flow. On the premise of meeting the vehicle power requirement, matrix calculation studies are carried out on the transmission ratio and the key parameters of EMS in the cooperative operation mode of hybrid energy storage system (HESS) based on regular EMS and auxiliary power unit (APU) based on equivalent fuel consumption minimum strategy (ECMS). Via Simulink software, the corresponding vehicle EMS model is developed, and the joint simulation platform of AVL Cruise and Simulink is constructed to verify the effectiveness of the proposed EMS. In order to further tap the energy-saving potential of the proposed strategy based on HESS, the multi-island genetic algorithm is adopted. Under WLTP working condition, the global optimization is conducted with the objectives of minimizing the equivalent fuel consumption and the cumulative ampere-hour through the battery when the vehicle adopts HESS and APU & ECMS operate in concert operation mode. The correlation analysis of the optimization variables is performed. The results show that the fuel economy of the optimized operation mode under WLTP condition is increased by 4.49 %, and the cumulative ampere-hour through the battery is reduced by 11.37 %.
Keyword :
Hybrid energy storage system Hybrid energy storage system Fuel economy Fuel economy Energy management strategy Energy management strategy Multi island genetic algorithm Multi island genetic algorithm Multi objective optimization Multi objective optimization Extended range electric vehicles Extended range electric vehicles
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GB/T 7714 | Xu, Yonghong , Zhang, Hongguang , Yang, Yifan et al. Optimization of energy management strategy for extended range electric vehicles using multi-island genetic algorithm [J]. | JOURNAL OF ENERGY STORAGE , 2023 , 61 . |
MLA | Xu, Yonghong et al. "Optimization of energy management strategy for extended range electric vehicles using multi-island genetic algorithm" . | JOURNAL OF ENERGY STORAGE 61 (2023) . |
APA | Xu, Yonghong , Zhang, Hongguang , Yang, Yifan , Zhang, Jian , Yang, Fubin , Yan, Dong et al. Optimization of energy management strategy for extended range electric vehicles using multi-island genetic algorithm . | JOURNAL OF ENERGY STORAGE , 2023 , 61 . |
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Abstract :
Micro compressed air energy storage systems are a research hotspot in the field of compressed air energy storage technology. Compressors and expanders are the core equipment for energy conversion, and their performance has a significant impact on the performance of the entire compressed air energy storage system. Scroll compressors have the advantages of small size, low noise, light weight, low vibration, long service life, continuous and stable gas transmission, and reliable operation. This article builds a micro compressed air energy storage system based on a scroll compressor and studies the effects of key parameters such as speed, torque, current, and storage tank pressure on the temperature difference, pressure ratio, energy consumption, and efficiency of the scroll compressor. The experimental results indicate that the power consumption of the scroll compressor shows an increasing trend with the increase in current, torque, and gas storage tank pressure. The isentropic efficiency of a scroll compressor shows a decreasing trend with increasing current, torque, and storage tank pressure. The maximum values of power consumption and isentropic efficiency of the scroll compressor are 3427 W and 90.8%, respectively.
Keyword :
performance output performance output scroll compressor scroll compressor compressed air energy storage compressed air energy storage energy conversion efficiency energy conversion efficiency power consumption power consumption
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GB/T 7714 | Fang, Juan , Xu, Yonghong , Zhang, Hongguang et al. Experimental Research on the Output Performance of Scroll Compressor for Micro Scale Compressed Air Energy Storage System [J]. | SUSTAINABILITY , 2023 , 15 (21) . |
MLA | Fang, Juan et al. "Experimental Research on the Output Performance of Scroll Compressor for Micro Scale Compressed Air Energy Storage System" . | SUSTAINABILITY 15 . 21 (2023) . |
APA | Fang, Juan , Xu, Yonghong , Zhang, Hongguang , Yang, Zhi , Wan, Jifang , Liu, Zhengguang . Experimental Research on the Output Performance of Scroll Compressor for Micro Scale Compressed Air Energy Storage System . | SUSTAINABILITY , 2023 , 15 (21) . |
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Abstract :
With the rise of new energy vehicles, supercapacitors (SCs) have been used as energy storage components for new energy vehicles due to their high-power density and good low-temperature performance. Accurate modeling and state of charge estimation of SC can ensure the safe operation of new energy vehicles. In order to explore the low-temperature performance of supercapacitors, this paper proposes a dual ZARC fractional-order circuit model to simulate the dynamic characteristics of SC. Using adaptive genetic algorithm for SC parameter identification, the model terminal voltage error is less than 6.5 mV. In addition, the SOC of SC at different temperatures and working conditions is estimated by using the fractional-order particle filter (FOPF) method and compared with the fractional-order extended Kalman filter (FOEKF). The experimental results show that the FOPF method has high estimation accuracy and robustness. Under the temperature of minus 40 & DEG;C, the maximum mean absolute error and maximum root-mean-square deviation of SOC estimation under different working conditions are less than 2%, showing good low-temperature performance. A fractional-order particle filter algorithm for estimating the SOC of supercapacitor is proposed.Adaptive genetic algorithm is used to identify the model parameters.The impact of low temperature on the accuracy of SOC estimation was studied.The accuracy and robustness of the algorithm are verified using experimental data.
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GB/T 7714 | Liu, Baicheng , Xu, Yonghong , Zhang, Hongguang et al. State of Charge Estimation of Supercapacitor Under Different Temperatures Using Particle Filter Algorithm Based on Fractional-Order Model [J]. | JOURNAL OF THE ELECTROCHEMICAL SOCIETY , 2023 , 170 (9) . |
MLA | Liu, Baicheng et al. "State of Charge Estimation of Supercapacitor Under Different Temperatures Using Particle Filter Algorithm Based on Fractional-Order Model" . | JOURNAL OF THE ELECTROCHEMICAL SOCIETY 170 . 9 (2023) . |
APA | Liu, Baicheng , Xu, Yonghong , Zhang, Hongguang , Zhang, Jian , Yang, Fubin , Wang, Yan et al. State of Charge Estimation of Supercapacitor Under Different Temperatures Using Particle Filter Algorithm Based on Fractional-Order Model . | JOURNAL OF THE ELECTROCHEMICAL SOCIETY , 2023 , 170 (9) . |
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Abstract :
压缩空气储能具有寿命长、成本低、环境污染小等优点而备受关注,然而压缩空气储能系统存在能量密度和效率低的问题,本工作提出了气动马达并联工作模式以提高压缩空气储能系统的输出功率、能量转换效率和经济性.通过对比分析了在气动马达并联工作和单独工作时,关键参数变化对气动马达输出功率、经济性和能量转换效率的影响规律.为了将微型压缩空气储能系统的膨胀机和压缩机一体化,本工作研究了气动马达正转和反转的性能.气动马达既作为膨胀机又作为压缩机,可以双模式运行,提高设备的利用率,降低压缩空气储能系统的成本.与可再生能源发电相结合的应用场景中,变工况运行是压缩空气储能系统面临的一个关键问题.以储气罐压力变化和负荷需求波动为代表的多种变工况条件在系统运行过程中常常同时存在,本工作在变工况条件下,通过试验研究了关键因素对压缩空气储能系统性能的影响情况.试验结果表明,采用气动马达并联工作模式可以提高压缩空气储能系统的输出功率、能量转换效率和经济性.当进气压力为10.5 bar(1 bar= 100 kPa)时,气动马达和发电机输出功率的最大值约为660 W和380 W.
Keyword :
气动马达 气动马达 压缩空气储能系统 压缩空气储能系统 并联模式 并联模式 输出功率 输出功率
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GB/T 7714 | 许永红 , 吴玉庭 , 张红光 et al. 基于气动马达的微型压缩空气储能系统的试验研究储能系统与工程 [J]. | 储能科学与技术 , 2023 , 12 (6) : 1854-1861 . |
MLA | 许永红 et al. "基于气动马达的微型压缩空气储能系统的试验研究储能系统与工程" . | 储能科学与技术 12 . 6 (2023) : 1854-1861 . |
APA | 许永红 , 吴玉庭 , 张红光 , 杨富斌 , 王焱 . 基于气动马达的微型压缩空气储能系统的试验研究储能系统与工程 . | 储能科学与技术 , 2023 , 12 (6) , 1854-1861 . |
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Abstract :
为了落实“三全育人”工作,针对“汽车文化”公共选修课程,在“课程思政”育人方面进行了探索与实践,如做好“课程思政”的总体设计方案和实施方案、精心挖掘“课程思政”元素和中国元素、推出高质量的“课程思政”教学案例、讲好汽车文化中的中国故事、合理运用“线下线上融合式教学”模式等。通过师生双方的共同努力,“课程思政”建设成效明显,课程教学工作得到了学校关注和学生认可。
Keyword :
课程思政 课程思政 中国故事 中国故事 线下线上融合式教学 线下线上融合式教学 教学案例 教学案例 公共选修课 公共选修课 汽车文化 汽车文化
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GB/T 7714 | 张红光 , 陈巍 , 王焱 et al. 课程思政与汽车文化中的中国故事 [J]. | 时代汽车 , 2023 , PageCount-页数: 4 (10) : 55-57,106 . |
MLA | 张红光 et al. "课程思政与汽车文化中的中国故事" . | 时代汽车 PageCount-页数: 4 . 10 (2023) : 55-57,106 . |
APA | 张红光 , 陈巍 , 王焱 , 许永红 , 杨富斌 , 张颖 . 课程思政与汽车文化中的中国故事 . | 时代汽车 , 2023 , PageCount-页数: 4 (10) , 55-57,106 . |
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Abstract :
有机朗肯循环(ORC)是实现中低温热能高效利用的主要技术之一.选择适宜的工质和循环结构可以显著提高ORC的热力学性能.本文基于工质参数化模型提出一种ORC构型和工质的热力学评价方法.首先,通过建立的工质参数化模型实现了ORC工质物性参数和循环参数的协同优化,从而获得不同构型ORC在不同热源条件下的最高热效率,进而确定了ORC的最佳构型和最适热源温度.然后,分析了在最佳构型下优化得到的工质物性参数与实际工质之间的差异.最终,在优化得到的工质物性参数的基础上,通过建立多元线性回归模型实现了不同工质ORC热力学性能的准确预测.结果表明,回热式结构是ORC的最佳循环结构,其最佳热源温度为300℃;利用基于优化得到的工质物性参数建立的多元线性回归模型预测不同工质热力学性能时,相对误差范围为0.8% ~-1%.
Keyword :
有机朗肯循环(ORC) 有机朗肯循环(ORC) 最适热源温度 最适热源温度 循环结构 循环结构 参数化模型 参数化模型 工质评价 工质评价
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GB/T 7714 | 闫栋 , 杨富斌 , 张红光 et al. 基于工质参数化建模的ORC不同构型热力学性能评价 [J]. | 大电机技术 , 2023 , (2) : 65-72 . |
MLA | 闫栋 et al. "基于工质参数化建模的ORC不同构型热力学性能评价" . | 大电机技术 2 (2023) : 65-72 . |
APA | 闫栋 , 杨富斌 , 张红光 , 许永红 , 李安生 . 基于工质参数化建模的ORC不同构型热力学性能评价 . | 大电机技术 , 2023 , (2) , 65-72 . |
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Abstract :
为了做好大学的"三全育人"工作,针对汽车文化这门公共选修课程,在建设课程思政方面进行思考与实践,如科学设计教学内容、精心挖掘课程思政元素、充分将课程思政元素与教学内容有机融合、高度重视现代教育技术手段和合理运用线下线上融合式教学等.通过任课教师和选课学生的共同努力,"三全育人"工作和课程思政建设均取得明显成效,汽车文化的教学工作获得选课学生的认可.
Keyword :
课程思政 课程思政 三全育人 三全育人 公共选修课 公共选修课 线下线上融合式教学 线下线上融合式教学 汽车文化 汽车文化
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GB/T 7714 | 张红光 , 王焱 , 闫栋 et al. 汽车文化公共选修课课程思政建设的思考与实践 [J]. | 高教学刊 , 2023 , 9 (10) : 27-30,35 . |
MLA | 张红光 et al. "汽车文化公共选修课课程思政建设的思考与实践" . | 高教学刊 9 . 10 (2023) : 27-30,35 . |
APA | 张红光 , 王焱 , 闫栋 , 许永红 , 杨一帆 , 李怡霞 et al. 汽车文化公共选修课课程思政建设的思考与实践 . | 高教学刊 , 2023 , 9 (10) , 27-30,35 . |
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Abstract :
针对有机朗肯循环系统参数之间的强耦合关系,本文在试验的基础上提出了一种基于机器学习模型的关键参数集识别方法.在一套 10 kW级的有机朗肯循环试验系统上开展了不同热源条件下的系统性能试验;选取蒸发器出口压力和温度、冷凝器入口压力和温度、工质泵效率和膨胀机轴效率6 个系统参数为初始变量,以ORC系统热效率为目标变量,分别建立了有机朗肯循环系统多元线性、人工神经网络和支持向量机机器学习模型;最终确定了有机朗肯循环系统最佳的机器学习模型和关键参数集.研究表明:采用关键参数集可以使模型的平均误差降低13.36%,提高了模型的准确度.高准确度的有机朗肯循环系统机器学习模型可以提高模型的预测性能,进而为实现有机朗肯循环系统高效运行控制提供支撑.
Keyword :
主成分分析 主成分分析 有机朗肯循环 有机朗肯循环 支持向量机 支持向量机 试验数据 试验数据 关键参数集 关键参数集 多元线性 多元线性 热效率 热效率 人工神经网络 人工神经网络
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GB/T 7714 | 闫栋 , 杨富斌 , 张红光 et al. 有机朗肯循环机器学习模型关键参数集识别 [J]. | 哈尔滨工程大学学报 , 2023 , 44 (8) : 1368-1374 . |
MLA | 闫栋 et al. "有机朗肯循环机器学习模型关键参数集识别" . | 哈尔滨工程大学学报 44 . 8 (2023) : 1368-1374 . |
APA | 闫栋 , 杨富斌 , 张红光 , 许永红 , 吴玉庭 . 有机朗肯循环机器学习模型关键参数集识别 . | 哈尔滨工程大学学报 , 2023 , 44 (8) , 1368-1374 . |
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Abstract :
随着人工神经网络技术的不断发展,有机朗肯循环(organic Rankine cycle, ORC)神经网络模型广泛应用于系统分析和优化领域。针对现有ORC神经网络模型计算量大、时间周期长和精度偏低的问题,本文提出了基于肖维勒准则与主元分析的ORC神经网络建模方法。采用肖维勒准则对ORC实验数据进行预处理,以去除异常数据,同时数据得到规范化处理。随后,采用主元分析对ORC特征进行矩阵变换和降维,以提取与ORC运行显著相关的特征向量。最后,通过实验数据验证了提出方法的有效性。该方法可在提高模型精度的同时,降低建模所需的时间。与基于原始数据的ORC神经网络模型相比,基于该方法的ORC神经网络模型建模所需时间降低了88.69%。同时,模型预测精度提高了19.93%。
Keyword :
肖维勒准则 肖维勒准则 人工神经网络建模 人工神经网络建模 主元分析 主元分析 有机朗肯循环 有机朗肯循环
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GB/T 7714 | 平旭 , 杨富斌 , 张红光 et al. 基于肖维勒准则与主元分析的有机朗肯循环神经网络建模方法 [J]. | 大电机技术 , 2023 , PageCount-页数: 7 (06) : 70-76 . |
MLA | 平旭 et al. "基于肖维勒准则与主元分析的有机朗肯循环神经网络建模方法" . | 大电机技术 PageCount-页数: 7 . 06 (2023) : 70-76 . |
APA | 平旭 , 杨富斌 , 张红光 , 邢程达 , 杨海龙 , 王焱 . 基于肖维勒准则与主元分析的有机朗肯循环神经网络建模方法 . | 大电机技术 , 2023 , PageCount-页数: 7 (06) , 70-76 . |
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