Vds current sensing has the potential to improve power density, efficiency, and cost compared to conventional current sensing methods by removing the need for a dedicated (quasi-)lossy sensing device. However, achieving high precision requires a temperature compensation method that has traditionally come at the expense of flexibility, test cost, or power density. This work proposes an online calibration method based on small signal resistance measurement through the periodic injection of small submicrosecond current pulses that are orthogonal to the load current. This provides an estimate of the large signal resistance that is insensitive to manufacturing tolerance and device type. Furthermore, junction temperature can be simultaneously estimated from the resistance variation. With 129mW injection power, the method achieves 0.54A RMS single point calibrated current error over a ±54A range on a 48V single phase experimental platform. Since all circuitry is connected parallel to the power stage, the method is suited to integration into a smart gate driver IC.

Current subsea LiDAR implementations are inherently depth limited, and make LiDAR applications in the deep-sea costly. To this end, the SLiDAR project aims to develop a pressure tolerant LiDAR system for use at any ocean depth. This thesis elaborates the high-level system design of the LiDAR system, as well as the design and implementation of the laser pulse reception stage and the onboard central control unit. Due to the short time frame of the project and the high work load, the LiDAR system as a whole and its subsystems are not tested in practise. Hence, this thesis aims to provide a basis for future development, testing and verification of both the LiDAR system, its laser reception stage, and its central control unit.