Fault Diagnosis Methods and Fault Tolerant Control Strategies for the Electric Vehicle Powertrains

Wu, Chenyun; Sehab, Rabia; Akrad, Ahmad; Morel, Cristina

doi:10.3390/en15134840

Cited by 15 publications

(6 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[14], an analog Proportional Integral Derivative (PID) controller designed based on converter parameters, including parasitic ones, was simulated in open-loop and closed-loop. According to [21][22][23][24][25][26][27][28][29][30][31][32][33], cascade control of boost converters is an efficient strategy, and the selected control scheme in this paper will be based on this concept. The desired performance is robustness against not only parasitic parameters but also input and load perturbations, while practical implementation simplicity is also a crucial factor to consider.…”

Section: The Control Problemmentioning

confidence: 99%

See 1 more Smart Citation

Cascade sliding mode control implementation in photovoltaic power supply for camping-car applications

Zaïdi¹,

Mohamed²,

Zanzouri

2023

Journal of Energy Systems

View full text Add to dashboard Cite

A cascade proportional integral sliding mode control for a two-stage interleaved boost converter (2IBC) serving as a reliable supplementary power source for camping-car applications is reported. Unlike the active fault-tolerant control approaches used for interleaved boost converters, which require controller reconfiguration, the proposed control scheme is passive fault-tolerant and does not require reconfiguration in the event of a faulty stage. The 2IBC model is analyzed together with the most important parasitic parameters, then, the averaged state-space model is derived to implement the control scheme. The appropriate linear cascade control is determined by using the small-signal equivalent model and improving the robustness and dynamic performance, thereby a proportional integrator controller is replaced by a sliding mode controller. The prototype system uses a signal processor and a low-power solar panel. The control code is generated by a PSIM software and loaded to the via a code composer tool. The experimental results validate the control design and demonstrate the efficiency of the proposed control scheme. In addition, the proposed controller ensures the continuity of service in the event of a faulty stage by verifying the reliability of the power supply.

show abstract

Section: The Control Problemmentioning

confidence: 99%

“…It is mentioned in Ref. [22] that passive FTC is indeed classified as a robust control. In contrast, active techniques reconfigure control parameters when a fault is detected [23].…”

Section: Introductionmentioning

confidence: 99%

Cascade sliding mode control implementation in photovoltaic power supply for camping-car applications

Zaïdi¹,

Mohamed²,

Zanzouri

2023

Journal of Energy Systems

View full text Add to dashboard Cite

show abstract

“…The first category is represented by the passive methods, which do not consider any information about the specific fault, but take into account the worst-case scenario in the early design stage of the system and integrate robust control, providing stability in the system. Some of these methods are presented in [13][14][15][16][17][18], highlighting the drawback that, in case of several unpredictable faults, the stability of the system can be seriously compromised. On the other hand, the second category is represented by active methods, which are based on acquiring a detailed knowledge of the actual fault occurring in the system and acting consequently to ensure stable operation even in critical conditions.…”

Section: Introductionmentioning

confidence: 99%

A Novel, Simple, and Flexible Fault-Tolerant Control Algorithm for Multiphase Electrical Machine Operation Under Open Circuit Faults

Caruso,

Tommaso,

Miceli

2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…In a report of 2019 and 2021 [2], [3], the researchers mentioned that about 23% of total energy is consumed by transportation sectors. In addition to emerging EVs in the transportation sectors to make a greener environment, the reduction of energy consumption is also focused on by introducing a regenerative braking system, by which a considerable percentage of energy consumption is reducible as per [4]. In addition, the faults generated in the system are also important to be detected in ordeer to obtain the targeted performance.…”

Section: Introductionmentioning

confidence: 99%

Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification

Ul Islam Khan,

Pathan,

Mominur Rahman

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of transportation. They function by converting electrical energy into mechanical energy using different types of motors, which aligns with the sustainable principles embraced by smart cities. The motors of EVs store and consume electrical power from renewable energy (RE) sources through interfacing connections using power electronics technology to provide mechanical power through rotation. The reliable operation of an EV mainly relies on the condition of interfacing connections in the EV, particularly the connection between the 3-ϕ inverter output and the brushless DC (BLDC) motor. In this paper, machine learning (ML) tools are deployed for detecting and classifying the faults in the connecting lines from 3-ϕ inverter output to the BLDC motor during operational mode in the EV platform, considering double-line and three-phase faults. Several machine learning-based fault identification and classification tools, namely the Decision Tree, Logistic Regression, Stochastic Gradient Descent, AdaBoost, XGBoost, K-Nearest Neighbour, and Voting Classifier, were tuned for identifying and categorizing faults to ensure robustness and reliability. The ML classifications were developed based on the datasets of healthy and faulty conditions considering the combination of six critical parameters that have significance in reliable EV operation, namely the current supplied to the BLDC motor from the inverter, the modulated DC voltage, output speed, and measured speed, as well as the output of the Hall-effect sensor. In addition, the superiority of the proposed fault detection and classification approaches using ML tools was assessed by comparing the detection and classification efficiency through some statistical performance parameter comparisons among the classifiers.

show abstract

Fault Diagnosis Methods and Fault Tolerant Control Strategies for the Electric Vehicle Powertrains

Abstract: With the challenges of global climate anomalies and energy crises, vehicle electrification has an increasing trend as an exciting solution for reducing greenhouse gas emissions and fossil fuel-based energy consumption [...]

Cited by 15 publications

References 19 publications

Cascade sliding mode control implementation in photovoltaic power supply for camping-car applications

Cascade sliding mode control implementation in photovoltaic power supply for camping-car applications

A Novel, Simple, and Flexible Fault-Tolerant Control Algorithm for Multiphase Electrical Machine Operation Under Open Circuit Faults

Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification

Contact Info

Product

Resources

About