In automotive power applications diagnosis and security are getting more and more important. Driver for this development is cost optimization on system level, new requirements out of autonomous driving, and efficiency. The base for smart power management is accurate current sensing in rough automotive environment. In many cases optimization on system level is needed; thus on device level this is not enough anymore. This paper describes the methods and innovative improvements of today's solutions to support upcoming requirements in accuracy and safety.
Kucher, A., Baschirotto, A., Del Croce, P. (2022). Advancements in Current sensing for future automotive applications. In P. Harpe, K. Makinwa, A. Baschirotto (a cura di), Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication: Advances in Analog Circuit Design 2021 (pp. 105-113). Springer International Publishing [10.1007/978-3-030-91741-8_7].
Advancements in Current sensing for future automotive applications
Baschirotto A.;
2022
Abstract
In automotive power applications diagnosis and security are getting more and more important. Driver for this development is cost optimization on system level, new requirements out of autonomous driving, and efficiency. The base for smart power management is accurate current sensing in rough automotive environment. In many cases optimization on system level is needed; thus on device level this is not enough anymore. This paper describes the methods and innovative improvements of today's solutions to support upcoming requirements in accuracy and safety.
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