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动力锂离子电池分形电路模型的降阶分析 被引量:1
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作者 方迪 黄秋安 +1 位作者 杨剑 杨昌平 《湖北大学学报(自然科学版)》 CAS 2018年第3期226-231,共6页
采用改进Randle分形电路描述动力锂离子电池的传递函数,并给出该分形电路阶跃电流响应解析解.随后,对由R_1//CPE_1和Z_(W∞)分形子电路构成的电路模型进行降阶处理.时域仿真表明,在0.1 10.0 s时间范围内,降阶模型近似解和分形模型的解... 采用改进Randle分形电路描述动力锂离子电池的传递函数,并给出该分形电路阶跃电流响应解析解.随后,对由R_1//CPE_1和Z_(W∞)分形子电路构成的电路模型进行降阶处理.时域仿真表明,在0.1 10.0 s时间范围内,降阶模型近似解和分形模型的解析解非常逼近,其中Z_(W∞)电路四阶降阶模型相对误差低于3.0%,而R1//CPE1分形系数α>0.8时,相对误差低于12.0%.给出的分形电路降阶模型不仅降低运算的复杂性,而且精度满足控制要求. 展开更多
关键词 动力锂离子 分形电路 Warburg阻抗 降阶处理
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Research on the Natural Image Classification and Segmentation Algorithm based on GPU and Neural Network
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作者 Liwei Chen 《International Journal of Technology Management》 2015年第9期53-55,共3页
In this paper, we conduct research on the natural image classification and segmentation algorithm based on GPU and neural network. The application of image segmentation is very broad, almost appeared in all areas rela... In this paper, we conduct research on the natural image classification and segmentation algorithm based on GPU and neural network. The application of image segmentation is very broad, almost appeared in all areas related to image processing, and involved in various types. With the fast development of computing technology and integrated circuit technology, the renewal speed of graphics hardware. Our method combines the GPU with network to optimize the traditional image segmentation and classification methods which will be meaningful. In the future, we will focus our attention on the hardware deployment of the GPU to modify the current approach. 展开更多
关键词 Image Classification Image Segmentation GPU and Neural Network.
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