Modeling, design and fault analysis of bidirectional DC-DC converter for hybrid electric vehicles

Al-Sheikh, Hiba; Bennouna, Ouadie; Hoblos, Ghaleb; Moubayed, Nazih

doi:10.1109/isie.2014.6864869

Cited by 34 publications

(12 citation statements)

References 13 publications

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“…The authors thoroughly Multi-port DC/DC Converter Inverter justify the choice and importance of the chosen converter in the study done in [8]. In [9], the authors specify the requirements and constraints of the examined electric traction system and present a criterion for sizing the converter components. Table 1 lists the values obtained based on the requirements of a HEV with 300V-30kW DC-link, 200V energy source and 15 kHz switching frequency. A.…”

Section: Description Of the Examined Power Convertermentioning

confidence: 99%

“…The state-space equations associated with each subsystem are derived in [9] using Kirchoff's current and voltage laws including the inductor internal resistance, R L , the input capacitor ESR, R Cin , the output capacitor ESR, R Co , and the transistor On-resistance, R ON . The load is modelled as a current source drawing current i o ; and the energy source is modelled as a voltage source, v in , in series with an internal resistance.…”

Section: B Power Converter Modelingmentioning

confidence: 99%

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Piecewise switched Kalman filtering for sensor fault diagnosis in a DC/DC power converter

Al-Sheikh

Hoblos

Moubayed

2015

2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE)

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With the extensive use of power electronics in modern HEVs comes the need for efficient methods of condition monitoring and fault diagnosis to ensure the reliability of the electrical power system. This paper addresses sensor faults in a DC/DC power converter system interfacing the main energy storage unit and the AC drive in a hybrid electric vehicle. A residual-based fault diagnosis system that detects and localizes sensor faults in the examined system is designed. The proposed scheme extends the classic Kalman-based detection filter commonly used in linear time-invariant systems to a piecewise switched filter suitable for switched linear systems as those encountered in power electronics. Residuals of measured signals are generated by employing a bank of switched Kalman filters on a stochastic model of the converter. The generalized likelihood ratio test is then used as a statistical change detection method to evaluate the residuals and generate a detection function which is compared with a decision threshold to detect the occurrence of a sensor fault. Keywords-sensor fault diagnosis; DC/DC converter; piecewise switched state-space model; swicthed linear Kalman filter; GLR testI.

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Section: Description Of the Examined Power Convertermentioning

confidence: 99%

Section: B Power Converter Modelingmentioning

confidence: 99%

Piecewise switched Kalman filtering for sensor fault diagnosis in a DC/DC power converter

Al-Sheikh

Hoblos

Moubayed

2015

2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE)

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“…Practical switching frequencies for power switching converters used in HEVs fall in the range of 15-20 kHz. Accordingly, the passive components in Table I are obtained based on the requirements specified in Table II [7]. The proposed design is simulated using Matlab/Simulink based on the parameters specified in Table I and Table II.…”

Section: Converter Description and Problem Analysismentioning

confidence: 99%

Condition monitoring of bidirectional DC-DC converter for hybrid electric vehicles

Al-Sheikh¹,

Bennouna²,

Hoblos³

et al. 2014

22nd Mediterranean Conference on Control and Automation

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Failure of power electronic systems plays a substantial role in the breakdown of hybrid vehicle electric drive systems. Early detection of faults can avoid aggregation of the failure and prevent catastrophic consequences. The aim of this paper is to test the sensitivity of statistical moments on power semiconductor faults in a bidirectional DC/DC converter interfacing the main hybrid energy storage system and the electric drive system in hybrid electric vehicles. Time domain analysis of current and voltage signals obtained from sensors at the input/output terminals of the converter is used to detect system faults in the power converter system.

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“…The combination between those two systems may be series, parallel or mixed [1], [2]. The electric propulsion system contains the electric machine, the controller and the inverter [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Faults in hybrid electric vehicles' permanent magnet machines

Ginzarly¹,

Hoblos²,

Moubayed³

2015

2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE)

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Nowadays, automobile transportation is in a crisis due to the high price of gasoline and, in the future, the crises will worsen unprecedentedly. Hence, researches are oriented toward hybrid electric vehicles being a good alternative of conventional vehicles. Thus, assuring the health and proper operation of HEVs is a mission. This paper focus on the importance of HEV's permanent magnet machine fault identification where a survey of the different types of fault that may arise is illustrated, relating it to the useful parameters that should be measured and checked to detect the presence of each type of fault. The faults are classified according to their level of severity; a case study is conducted where it is shown that demagnetization of magnet is the most sever fault taking into consideration the relative cost of magnet and the occurrence percentage of demagnetization. Index Terms -Hybrid electric vehicle, permanent magnet machine, Faults.

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Modeling, design and fault analysis of bidirectional DC-DC converter for hybrid electric vehicles

Cited by 34 publications

References 13 publications

Piecewise switched Kalman filtering for sensor fault diagnosis in a DC/DC power converter

Piecewise switched Kalman filtering for sensor fault diagnosis in a DC/DC power converter

Condition monitoring of bidirectional DC-DC converter for hybrid electric vehicles

Faults in hybrid electric vehicles' permanent magnet machines

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