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Guangzhou, China

Wen Y.,Beihang University | Zhang W.,Beihang University | Lu J.,CEPREI
Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015 | Year: 2015

The development of electric vehicles is potential with the scarcity of oil resources and the increasingly higher environmental requirements. The complex usage of electric vehicles requires high-capacity, high-current discharge and other requirements for power system. Electric vehicle power system security incidents occur occasionally, security analysis and evaluation of battery management systems is becoming increasingly important, but rarely studied. The current safety studies about battery have been limited in anode and cathode materials, separator materials for high temperature resistance and other properties of the cycle. The current assessment methods about battery management system are doing charge and discharge test, if the test data belong to the required range, it is passed, otherwise is not passed. This is an extensive evaluation. There is no method and indicator set to analyze and evaluate the safety of battery and its management system. A method based on probabilistic risk analysis is presented in this paper, it can do both qualitative and quantitative analysis about safety infected by battery design and battery management system's functional components. In this paper, the safety impact of battery and its management system's functions to the electric vehicle is studied, and 14 indicators are chosen according to the probability importance sensitive as the evaluation indicator set to evaluate the safety of the electric vehicle, and a brief analysis of these indicators and calculation methods, in order to verify its feasibility. Analysis shows that the biggest factor of the electric vehicle safety is the achievement of the BMS's function, followed by the environment, the battery itself and the maintenance timely. © 2015 IEEE. Source


Hou W.,CEPREI | Hou W.,Beihang University | Yao J.,CEPREI | Wang K.,CEPREI | And 2 more authors.
Chemical Engineering Transactions | Year: 2013

In the stability test of an aircraft composites wing, partial fractures are found in the rivet joint region of the wing skin panel. Besides visual examination, other experimental techniques used for investigation are: crack morphology and fracture characteristics by environmental scanning electron microscopy (ESEM), metallographic observation of cracks and composition analysis of fiber surface by x-ray fluorescence spectrometry (XFS). The results are obtained through the analyses of damage morphology, structure stress and load. Fracture areas of the panel, in which notch effect was formed around the rivet, fractured under alternate compressive load. The wing skin panel fractured at the rivets under compression load. For the inconsistent deformation in the compression process, the damage mode of local areas is shear fracture. The primary cause of the panel fracture is insufficient design strength. However, interface pollution leads to structural strength decline, which induces the fractures occurred. Copyright © 2013, AIDIC Servizi S.r.l. Source


Wang Y.,CEPREI | Wang Y.,Guangzhou Key Laboratory of Reliability and Environmental Engineering of Electronic Information Product | Deng C.,Huazhong University of Science and Technology | Hu X.,Guangdong Key Laboratory of Electronics and Information Technology Product Reliability | And 3 more authors.
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | Year: 2015

Based on the analysis of multiple failure modes, a Preventive Maintenance (PM) scheduling for complex mechanical device was proposed. According to system structure and function features, the key failure modes were identified. The dependences between failure modes, the maintenance level and the maintenance effects of complex mechanical device were discussed. The objective cost function of PM was constructed further by using failure time distribution, and the integer-constrained nonlinear optimization problem achieved by genetic algorithm was adopted to solve this function. The proposed approach was illustrated in a ram feed subsystem of a boring machine, and the effectiveness was proved. ©, 2015, CIMS. All right reserved. Source

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