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Keywords = fatigue damage spectrum (FDS)

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16 pages, 4652 KiB  
Article
Accelerated Fatigue Test for Electric Vehicle Reducer Based on the SVR–FDS Method
by Yudong Wu, Zhanhao Cui, Wang Yan, Haibo Huang and Weiping Ding
Sensors 2024, 24(16), 5359; https://doi.org/10.3390/s24165359 - 19 Aug 2024
Viewed by 1355
Abstract
The reducer serves as a pivotal component within the power transmission system of electric vehicles. On one hand, it bears the torque load within the power transmission system. On the other hand, it also endures the vibration load transmitted from other vehicle components. [...] Read more.
The reducer serves as a pivotal component within the power transmission system of electric vehicles. On one hand, it bears the torque load within the power transmission system. On the other hand, it also endures the vibration load transmitted from other vehicle components. Over extended periods, these dynamic loads can cause fatigue damage to the reducer. Therefore, the reliability and durability of the reducer during use are very important for electric vehicles. In order to save time and economic costs, the durability of the reducer is often evaluated through accelerated fatigue testing. However, traditional approaches to accelerated fatigue tests typically only consider the time-domain characteristics of the load, which limits precision and reliability. In this study, an accelerated fatigue test method for electric vehicle reducers based on the SVR–FDS method is proposed to enhance the testing process and ensure the reliability of the results. By utilizing the support vector regression (SVR) model in conjunction with the fatigue damage spectrum (FDS) approach, this method offers a more accurate and efficient way to evaluate the durability of reducers. It has been proved that this method significantly reduces the testing period while maintaining the necessary level of test reliability. The accelerated fatigue test based on the SVR–FDS method represents a valuable approach for assessing the durability of electric vehicle reducers and offering insights into their long-term performance. Full article
(This article belongs to the Special Issue Fault Diagnosis and Prognosis in Rotating Machines)
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8 pages, 940 KiB  
Article
Simplified Vibration PSD Synthesis Method for MIL-STD-810
by Jin Jang and Jong-Won Park
Appl. Sci. 2020, 10(2), 458; https://doi.org/10.3390/app10020458 - 8 Jan 2020
Cited by 12 | Viewed by 8299
Abstract
In MIL-STD-810, the environmental engineering consideration and laboratory tests by US military, the DP (damage potential) formula is used to calculate the fatigue damage by vibration environments which is a simplified version of a FDS (fatigue damage spectrum) formula. DP, however, was originally [...] Read more.
In MIL-STD-810, the environmental engineering consideration and laboratory tests by US military, the DP (damage potential) formula is used to calculate the fatigue damage by vibration environments which is a simplified version of a FDS (fatigue damage spectrum) formula. DP, however, was originally made for comparison between different test standards and is not an optimized formula for the synthesis of vibration environments. This paper presents the GRS (Gaussian Random Synthesis) formula for only vibration test synthesis featuring simplified DP formula and produce the same result as DP. Although the GRS provides insight into the synthesis of vibration tests, it must be used with care because it inherits the constraints of the original FDS formula. Full article
(This article belongs to the Special Issue Selected Papers from the ICMR 2019)
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12 pages, 3785 KiB  
Article
Defining a Representative Vibration Durability Test for Electric Vehicle (EV) Rechargeable Energy Storage Systems (RESS)
by J.M. Hooper and J Marco
World Electr. Veh. J. 2016, 8(2), 327-338; https://doi.org/10.3390/wevj8020327 - 24 Jun 2016
Cited by 17 | Viewed by 2029
Abstract
This study defines a process to devise random power spectral density (PSD) profiles that are representative of 100,000 miles of UK customer electric vehicle (EV) usage utilising vibration measurements from three contemporary EV’s, for undertaking vibration durability evaluations of underfloor mounted rechargeable energy [...] Read more.
This study defines a process to devise random power spectral density (PSD) profiles that are representative of 100,000 miles of UK customer electric vehicle (EV) usage utilising vibration measurements from three contemporary EV’s, for undertaking vibration durability evaluations of underfloor mounted rechargeable energy storage systems (RESS). This paper also presents a critical assessment of current random vibration test procedures available to engineers for validating the mechanical performance of EV RESS via comparing the shock response spectrum (SRS) and fatigue damage spectrum (FDS) of these standards to the SRS and FDS of 100,000 miles UK durability. Full article
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