Verification of an Automotive Headlight Leveling Circuit and Application Using Smart Component Property Extraction

Kirscher, Jérôme; Lenz, Michael; Metzner, D.; Pelz, Georg

doi:10.1109/bmas.2008.4751230

Cited by 4 publications

(2 citation statements)

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“…The presented values in table I of the identified motor parameters are nominal values, characterized in [11], while values for the power net are general standard values.…”

Section: Paper M4c1mentioning

confidence: 99%

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Monte Carlo based post-silicon verification considering automotive application variances

Harrant

Nirmaier

Kirscher

et al. 2013

Proceedings of the 2013 9th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME)

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In this paper we present a fully automated approach to consider device-to-device variances of automotive power applications during post-silicon verification. Due to the high complexity of target applications for automotive smart power microelectronics, it is not sufficient to affirm compliance to their specification. Car manufacturers therefore push for more extensive application robustness beyond classical methods. To cope with this requirement a FPGA platform is used to evaluate physical equations of automotive power application components in real-time together with a dynamic power amplifier to interface the digital FPGA outputs to the analog world. The functionality and the advantage of this approach is evaluated based on several Monte Carlo experiments by using an Advanced Front Lighting system as an example.

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“…The presented values in table I of the identified motor parameters are nominal values, characterized in [11], while values for the power net are general standard values.…”

Section: Paper M4c1mentioning

confidence: 99%

“…This behavioral model was already presented in [10] and the related parameters were extracted in [11] to be used for simulations in VHDL-AMS.…”

Section: (3) DC Motormentioning

confidence: 99%