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Piao, Changhao,Li, Zuncheng,Lu, Sheng,Jin, Zhekui,Cho, Chongdu The Korean Institute of Power Electronics 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.1
A new method is proposed based on a hidden Markov model (HMM) to estimate and analyze battery states of health. Battery system health states are defined according to the relationship between internal resistance and lifetime of cells. The source data (terminal voltages and currents) can be obtained from vehicular battery models. A characteristic value extraction method is proposed for HMM. A recognition framework and testing datasets are built to test the estimation rates of different states. Test results show that the estimation rates achieved based on this method are above 90% under single conditions. The method achieves the same results under hybrid conditions. We can also use the HMMs that correspond to hybrid conditions to estimate the states under a single condition. Therefore, this method can achieve the purpose of the study in estimating battery life states. Only voltage and current are used in this method, thereby establishing its simplicity compared with other methods. The batteries can also be tested online, and the method can be used for online prediction.
Changhao Piao,Zuncheng Li,Sheng Lu,Zhekui Jin,Chongdu Cho 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.1
A new method is proposed based on a hidden Markov model (HMM) to estimate and analyze battery states of health. Battery system health states are defined according to the relationship between internal resistance and lifetime of cells. The source data (terminal voltages and currents) can be obtained from vehicular battery models. A characteristic value extraction method is proposed for HMM. A recognition framework and testing datasets are built to test the estimation rates of different states. Test results show that the estimation rates achieved based on this method are above 90% under single conditions. The method achieves the same results under hybrid conditions. We can also use the HMMs that correspond to hybrid conditions to estimate the states under a single condition. Therefore, this method can achieve the purpose of the study in estimating battery life states. Only voltage and current are used in this method, thereby establishing its simplicity compared with other methods. The batteries can also be tested online, and the method can be used for online prediction.
FEM을 이용한 Electromagnetic Clutch 토크해석과 전기자 치수최적화
朴昌浩(Changhao Piao) 대한전기학회 2006 전기학회논문지 B Vol.55 No.5
This study tries to test and analyze the static friction torque generated by an electromagnetic clutch. Then the torque is improved by optimizing the shape of armature. For the purpose of design change and optimization of the electromagnetic clutch, the static friction torque prediction is very important. We construct an axi symmetric FEM model for analyzing the static friction torque and used a torque tester for evaluating the real torque. For a test, predicted static friction torque is compared with the experimental one to discuss the rationality of torque analysis process. The analytical result agrees well with experimental data, explaining the validity of the mathematical process and FEM model. After confirming the torque analysis process, the optimization process is investigated. The optimization result shows that the static torque is improved by changing the armature shape.
디스크 브레이크 임계속도에 의한 Hot Spot Analysis
이재한(Jaehan Lee),김명구(Myoung-Gu Kim),조종두(Chongdu Cho),박창호(ChangHao Piao),이상교(Sangkyo Lee) 대한기계학회 2005 대한기계학회 춘추학술대회 Vol.2005 No.11
The purpose of the disk brake is to decelerate and stop the automobile as soon as possible by using the frictional force between the disk and pad. However the disk brake system is affected by the thermal problems such as wear and thermal crack. Due to these problems vibrations are produced and resulting into shortened life or breakdown of the disk brake system. Hot spot, which is a type of thermal problem, is the portion inside the disk where the heat is locally concentrated. The Hot spot causes thermo-elastic instability(TEI). When the area of the Hot spot increases continuously, it causes hot juddering into the braking system, which is a serious low frequency vibration and noise problem.
Autonomous Lane Keeping System: Lane Detection, Tracking and Control on Embedded System
Chao Jiang,Mingjie Liu,Xutao Deng,Zhen Lei,Changhao Piao 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.1
Autonomous lane keeping system is the key technique to autonomous driving. It includes lane detection, lane tracking and control. It has been developed enormously, but it is still a challenge work due to diff erent factors such as illumination, general hyper-parameters setting for diff erent road condition and lane boundary correction. In addition, due to imbalance on accuracy and processing time, it is hard to conduct in embedding system. In this study, an autonomous lane keeping system is developed based on deep learning. First, a lane detection and tracking system is designed, which is robust to lane boundary correction. Especially for lane detection, a light-weight network named as LaneFCNet is proposed, which can balance accuracy and processing time. Then, lane tracking was followed by detector to improve the detection performance and create autonomous driving trajectory. Finally, to brief lane fi tting problem, it was treated as ridge regression problem, which can enhance the eff ectiveness to the whole system. Experimental results show that our integrated lane detection and tracking system can trade off accuracy and processing time and the whole line keeping system is robust enough to autonomous driving.