1 research outputs found
A software architecture for electro-mobility services: a milestone for sustainable remote vehicle capabilities
To face the tough competition, changing markets and technologies in automotive industry,
automakers have to be highly innovative. In the previous decades, innovations were
electronics and IT-driven, which increased exponentially the complexity of vehicle’s internal
network. Furthermore, the growing expectations and preferences of customers oblige these
manufacturers to adapt their business models and to also propose mobility-based services.
One other hand, there is also an increasing pressure from regulators to significantly reduce
the environmental footprint in transportation and mobility, down to zero in the foreseeable
future.
This dissertation investigates an architecture for communication and data exchange
within a complex and heterogeneous ecosystem. This communication takes place between
various third-party entities on one side, and between these entities and the infrastructure
on the other. The proposed solution reduces considerably the complexity of vehicle
communication and within the parties involved in the ODX life cycle. In such an
heterogeneous environment, a particular attention is paid to the protection of confidential
and private data. Confidential data here refers to the OEM’s know-how which is enclosed
in vehicle projects. The data delivered by a car during a vehicle communication session
might contain private data from customers. Our solution ensures that every entity of this
ecosystem has access only to data it has the right to. We designed our solution to be
non-technological-coupling so that it can be implemented in any platform to benefit from
the best environment suited for each task. We also proposed a data model for vehicle
projects, which improves query time during a vehicle diagnostic session. The scalability and
the backwards compatibility were also taken into account during the design phase of our
solution.
We proposed the necessary algorithms and the workflow to perform an efficient vehicle
diagnostic with considerably lower latency and substantially better complexity time and
space than current solutions. To prove the practicality of our design, we presented a
prototypical implementation of our design. Then, we analyzed the results of a series of tests
we performed on several vehicle models and projects. We also evaluated the prototype
against quality attributes in software engineering