Abstract

Abstract. A novel microwave-based approach for monitoring the state of aftertreatment systems such as diesel particulate filters (DPFs), three-way catalytic converters (TWCs), and selective catalytic reduction (SCR) catalysts is proposed. The volume inside the metallic housing of the DPF, TWC, or SCR is considered as a wireless communication channel between two terminals of a communication system. It is shown that, depending on the transmission channel characteristics, the properties of the catalyst, such as the catalyst state, can be inferred. This is done by means of an ultra-wideband (UWB) measurement and the subsequent evaluation and processing of the waveform in the time and frequency domains.

Highlights

  • Modern regulations for exhaust gas components like Euro 5 and Euro 6 require new methods both for the emissions control and for the monitoring and operation of the emission control systems in the diesel and gasoline engines.During diesel engine operation, soot is captured in the pores of the diesel particulate filters (DPFs) or the selective catalytic reduction (SCR) catalysts

  • Soot is captured in the pores of the DPFs or the SCR catalysts

  • Motroniuk et al.: State determination of catalytic converters ing to space and cost reasons. It should be replaced by smaller and cheaper solutions. For solving this miniaturizing task, we have described a novel approach towards the monitoring of exhaust gas aftertreatment systems such as DPFs, SCRs, and three-way catalytic converters (TWCs) (Motroniuk et al, 2014)

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Summary

Introduction

Modern regulations for exhaust gas components like Euro 5 and Euro 6 require new methods both for the emissions control and for the monitoring and operation of the emission control systems in the diesel and gasoline engines. From the wireless channel characteristics, the properties of the catalytic converter such as the catalyst oxygen concentration or soot loading state can be determined. The latter assertion about the measurability of the soot loading state has been demonstrated in Motroniuk et al (2014) and will be further corroborated in the remainder of this contribution. After receiving the pulse modulated by the catalyst properties, it is a matter of experience (calibration, simulation results, etc.) to infer the catalyst state from the waveform distortion Devices such as Altera Stratix, Xilinx Virtex, Xilinx Spartan, ZigBee, WirelessHART, Nanonet, PulsON 410, or any other including (but not limited to) field-programmable gatearray (FPGA)-based integrated circuits and devices could be used for building an appropriate communication system for the intended application purpose. Estimated by a post-processing of the received UWB waveform with the numerical computing environments and programming languages (such as MATLAB and C)

Validation in the time domain
Validation in the frequency domain
Conclusions

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