The automotive industry faces future important changes through adoption of several new complex technologies like” X-by-wire” systems for vehicle dynamic control and high focus on green technology, fuel efficiency hybrids and electric vehicles. The implications of these technologies require in-depth understanding of the vehicle behavior during lifetime cycle, in order to reach a maximum optimized design. Therefore this paper introduces an analysis of a long-term capture data collection from a fleet of serial production vehicles in normal everyday use, as a solution to the lack of information available to describe the vehicle dynamics and load over the systems in a sufficient way. The analysis brings knowledge-based information, where before was difficult to answer and where statements were mainly based on subjective explanation. Results reveals important information describing load cycles during vehicle lifetime for different control events with focus on the braking events.