Reliability Study of BEV Powertrain System and Its Components—A Case Study

Tang, Qian; Shu, Xiong; Zhu, Guanghui; Wang, Jiande; Yang, Huan

doi:10.3390/pr9050762

Cited by 23 publications

(8 citation statements)

References 21 publications

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“…Some parts of the drive are more susceptible to failure than others. Reliability analyses for motor drives are conducted for different applications, such as battery EVs [14,15]. These studies show that, for EV applications, the motor controller (including sensors) has a higher number of chances of failing when compared to the motor itself.…”

Section: Drive Topologymentioning

confidence: 99%

Review of Fault Detection and Diagnosis Techniques for AC Motor Drives

Gultekin

Bazzi

2023

Energies

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Condition monitoring in electric motor drives is essential for operation continuity. This article provides a review of fault detection and diagnosis (FDD) methods for electric motor drives. It first covers various types of faults, their mechanisms, and approaches to detect and diagnose them. The article categorizes faults into machine faults, power electronics (PE) faults, DC link capacitor faults, and sensor faults, and discusses FDD methods. FDD methods for machines are categorized as statistical methods, machine-learning methods, and deep-learning methods. PE FDD methods are divided into logic-based, residual-based, and controller-aided methods. DC link capacitor and sensor faults are briefly explained. Machine and PE faults are listed and presented as tables for easy comparison and fast referencing. Most papers are selected from the past five years but older references are added when necessary. Finally, a discussion section is added to reflect on current trends and possible future research areas.

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Section: Drive Topologymentioning

confidence: 99%

Review of Fault Detection and Diagnosis Techniques for AC Motor Drives

Gultekin

Bazzi

2023

Energies

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“…Additionally, temperature (both ambient and operating) plays a crucial role in the aging of electrical components due to thermal stress. Related research has been carried out for traction battery durability [7,8], EM durability [9][10][11], power electronics [12], and the electric system [13]. The mechanical components in electric vehicles are subjected to more critical working conditions than those in conventional vehicles with multi-stage transmissions.…”

Section: Introductionmentioning

confidence: 99%

An Investigation of Representative Customer Load Collectives in the Development of Electric Vehicle Drivetrain Durability

Li,

Noering,

Öngün

et al. 2024

WEVJ

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To ensure the precise dimensioning and effective testing of drivetrain components, it is crucial to have a thorough understanding of customer requirements, with a particular emphasis on customer stress on these components. An accurate interpretation of customer data is essential for determining representative customer requirements, such as load collectives. The automobile industry has faced challenges in analyzing large amounts of customer driving data to obtain representative load collectives as target values in durability design. However, due to technical limitations and cost constraints, collecting data from a large sample size is not feasible. The ongoing digitalization of the automotive industry, driven by an increasing number of connected vehicles, enhances data-based and customer-oriented development. This paper investigates representative customer load collectives using cloud data from over 40,000 customer vehicles to lay the groundwork for realizing robust requirement engineering. A systematic method for analyzing big data on the cloud was introduced. The derived component-specific damage distribution from these collectives adopts a unique approach, utilizing the 1% vehicle term instead of the common 1% customer term to represent typical customer stress. This study shows that the driven mileage and the number of vehicles are crucial factors in 1% vehicle analysis. An analysis of the characteristics of the 1% vehicle is conducted, followed by an exploration to determine the required vehicle quantity for obtaining stable results. The shape parameter of the damage distribution determines the necessary number of vehicles for a reliable conclusion. Additionally, a comparative analysis of market-specific customer requirements between the US and Europe is presented, and real usage differences in customer operations are explained using an operating point frequency heatmap. The information presented in this paper provides valuable input for optimizing durability design and conducting efficient, customer-oriented tests, resulting in significant reductions in development time and costs.

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“…In this paper, the impact of these strategies on the reliability and durability performance of the Li-ion cells of the vehicle batteries is investigated. Paper [3] evaluates the reliability of the power train system of battery electric vehicles and its composed components including the motor, motor controller, power distribution unit, and battery system. In this article, a fault tree model associated with the power train system of the electric vehicle and its composed components is developed.…”

Section: Introductionmentioning

confidence: 99%

The Impact of the Speed and Temperature Variation on the Electric Vehicles Reliability

Ghaedi

Mahmoudian

Sedaghati

2022

International Transactions on Electrical Energy Systems

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The transportation system contains many fossil fuel-based automobiles equipped with the internal combustion engine that results in the pollution of the environment and greenhouse gas emissions. In recent years, to replace these automobiles with clean choices, electric vehicles are developed. So far, three kinds of electric vehicles including hybrid, plug-in, and full-electric vehicles are introduced. In the hybrid and plug-in electric vehicles, both the internal combustion engine and electric motor are used to move the vehicle. However, in the full-electric vehicle, the movement of the vehicle is done only by the electric motor. Due to the development of the electric vehicles in the transportation system, different aspects of these vehicles such as reliability must be studied. The reliability indices of the electric vehicles are affected by the failure rate of the composed components. Thus, to exactly determine the reliability performance of the electric vehicles, the failure rate of the main composed components affected by different parameters such as speed of the vehicle and temperature is taken into account. In the present paper, to accurately study the reliability of all-electric vehicles, the impact of variation in the temperature and vehicle speed on the failure rate of the composed components including battery, inverter, electric motor, and other static and rotation parts of the full-electric vehicle and consequently the failure rate of the vehicle is investigated. To determine the impact of operating temperature on the failure rate of composed components, the Arrhenius law is proposed. Based on the variation in the vehicle failure rate in terms of the vehicle speed and temperature, the reliability of the electric vehicle at different conditions is determined. It is concluded from numerical results performed in the paper that the failure rate of the understudied full-electric vehicle varies between 3.5 and 6 failures per year when the temperature varies between 0 and 50°C and the vehicle speed varies between 0 and 200 km/h.

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Reliability Study of BEV Powertrain System and Its Components—A Case Study

Cited by 23 publications

References 21 publications

Review of Fault Detection and Diagnosis Techniques for AC Motor Drives

Review of Fault Detection and Diagnosis Techniques for AC Motor Drives

An Investigation of Representative Customer Load Collectives in the Development of Electric Vehicle Drivetrain Durability

The Impact of the Speed and Temperature Variation on the Electric Vehicles Reliability

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