Supercapacitor Energy Storage for Magnetic Resonance Imaging Systems

Magnetic resonance imaging (MRI) involves very short pulses of very high current. Substantial savings in the high cost of MRI installations may be realized by employing suitable electrical energy storage, for which supercapacitors are strong candidates in view of high specific power and long cycle life. A key question is whether the well-known capacitance degradation with increased frequency is compatible with the complex and highly variable duty cycles of various MRI sequences. Compatibility of the supercapacitor voltage range with the MRI system must also be considered. We present a detailed analysis of power duty profiles in MRI, using actual imaging sequences, that has not been reported previously. We also propose and validate a simplified supercapacitor model that can accurately simulate its performance in the MRI system, involving pulses that are several orders of magnitude shorter than those considered previously. Results of equivalent experiments involving lithium-ion iron phosphate ( LiFePO4) batteries are also reported. Finally, we present a detailed analysis of the overall energy storage performance in a realistic neurological examination. The study is based on a specific system of our own design, and we fully disclose its relevant parameters, so that the results would be of direct practical value to the wider community, including developers of MRI.

[1]  Pavol Bauer,et al.  Dynamic Behavior Modeling and Verification of Advanced Electrical-Generator Set Concept , 2009, IEEE Transactions on Industrial Electronics.

[2]  Nihal Kularatna,et al.  Improving the End-to-End Efficiency of DC–DC Converters Based on a Supercapacitor-Assisted Low-Dropout Regulator Technique , 2014, IEEE Transactions on Industrial Electronics.

[3]  R. Kötz,et al.  Temperature behavior and impedance fundamentals of supercapacitors , 2006 .

[4]  P. Delarue,et al.  Interface converters for ultra-capacitor applications in power conversion systems , 2012, 2012 15th International Power Electronics and Motion Control Conference (EPE/PEMC).

[5]  D. Sauer,et al.  Modelling the effects of charge redistribution during self-discharge of supercapacitors , 2010 .

[6]  Mario Paolone,et al.  Improvement of Dynamic Modeling of Supercapacitor by Residual Charge Effect Estimation , 2014, IEEE Transactions on Industrial Electronics.

[7]  Phatiphat Thounthong,et al.  Control Strategy of Fuel Cell and Supercapacitors Association for a Distributed Generation System , 2007, IEEE Transactions on Industrial Electronics.

[8]  Enrico Tironi,et al.  New Full-Frequency-Range Supercapacitor Model With Easy Identification Procedure , 2013, IEEE Transactions on Industrial Electronics.

[9]  Jianming Jin Electromagnetic Analysis and Design in Magnetic Resonance Imaging , 1998 .

[10]  Jean-Michel Vinassa,et al.  Characterization methods and modelling of ultracapacitors for use as peak power sources , 2007 .

[11]  Wilson Fong Handbook of MRI Pulse Sequences , 2005 .

[12]  Hamid Gualous,et al.  Frequency, thermal and voltage supercapacitor characterization and modeling , 2007 .

[13]  K. Higuchi,et al.  Robust digital control of a broadband PWM power amplifier , 2012, 2012 12th International Conference on Control, Automation and Systems.

[14]  M. Cowie,et al.  UK stroke incidence, mortality and cardiovascular risk management 1999–2008: time-trend analysis from the General Practice Research Database , 2011, BMJ Open.

[15]  Nassim Rizoug,et al.  Modeling and Characterizing Supercapacitors Using an Online Method , 2010, IEEE Transactions on Industrial Electronics.

[16]  Paul Strauss,et al.  Magnetic Resonance Imaging Physical Principles And Sequence Design , 2016 .

[17]  Yen-Shin Lai,et al.  New Digital-Controlled Technique for Battery Charger With Constant Current and Voltage Control Without Current Feedback , 2012, IEEE Transactions on Industrial Electronics.

[18]  M. Ristic,et al.  Numerical Study of Quench Protection Schemes for a $ \hbox{MgB}_{2}$ Superconducting Magnet , 2011, IEEE Transactions on Applied Superconductivity.

[19]  Jeom-Soo Kim,et al.  Capacity fading mechanism of LiFePO4-based lithium secondary batteries for stationary energy storage , 2013 .

[20]  Srdjan M. Lukic,et al.  Energy Storage Systems for Transport and Grid Applications , 2010, IEEE Transactions on Industrial Electronics.

[21]  Malcolm D. McCulloch,et al.  A comparison of high-speed flywheels, batteries, and ultracapacitors on the bases of cost and fuel e , 2011 .

[22]  Yu-Chung N. Cheng,et al.  Magnetic Resonance Imaging: Physical Principles and Sequence Design , 1999 .

[23]  Hamid Gualous,et al.  DC/DC Converter Design for Supercapacitor and Battery Power Management in Hybrid Vehicle Applications—Polynomial Control Strategy , 2010, IEEE Transactions on Industrial Electronics.