Automotive Power System Optimization through Vehicle Power Consumption Pattern Analysis

Abstract

This paper presents a fuse optimization algorithm for automotive power systems. Automotive wire harness takes up about 40 kg of vehicle weight and the need to reduce wire square is critical both for manufacturing cost reduction and fuel efficiency. First, fuse capacity is determined considering the electric currents flow through the fuse, and then, the wire square is calculated accordingly, so that the fuse can protect the wire. We present a novel fuse capacity selection algorithm for selecting the right fuse capacity using the fuse fatigue graph and using electric load usage pattern data extracted from automotive CAN signals. The result shows that our algorithm based on the real usage data can reduce the current fuse capacity in vehicles by as much as 31% still preserving the fuse fatigue criteria.