The progressive electrification of many types of machinery (offroad, construction machines, etc.) is already engaged, whether for environmental requirements reasons, standards or efficiency. This transformation is most often achieved through the selection of components intended for a different primary use in terms of products (e.g. automotive). This on-going electrification leads to changes in technology, structure, design and final user behavior. In contrast with existing technologies, where standards may give guidelines, electric powertrain and its integration in complete new products requires new specification inputs. This raises a number of potential issues, such as the durability/safety of these components in another environment (e.g. telescopic handlers, excavators) and the overall product energy efficiency. As a result, customer usage in different life situations may result in a massive production of measurements. These variations must be finely understood with a dedicated infrastructure, which merges data storage, indexation and ability to achieve request with a good agility, and raw signals analysis tools, to calculate metrics. The Big Data environment enables to merge a variety of data, provide automatized analysis, up to a request-based dynamic dashboard.

Manufacturers therefore need to :

– Ensure that their component original specifications are in accordance with their product usage

– Optimize global operating efficiency (energy consumption, component performance).

The purpose of this paper is to explain the Mission Profile approach implemented by CETIM on demonstrators with a dedicated instrumentation (80 parameters). The post-processing activity is intended to create adapted specifications, indexed and classified by life situation. Indeed, the battery pack and electrical motors have to be optimized in real condition, and the test and simulation engineer needs to be aware of powertrain status, power and energy consumption in every condition. This approach, combined with the life situation from Big Data information, enables to create optimized specifications and to improve global energy performance.

Keywords: Data Lake, Big Data, Electrification, Uncertainty quantification, Mission Profile