In recent years, automotive development has been driven by major trends such as new powertrain concepts (e.g. for electric or hybrid vehicles), new exhaust systems (e.g. SCR emission treatment) and extended functionalities (e.g. start/stop systems, kinetic energy recovery and batteries for the storage of drive energy). These developments have led to an extension of the complexity of these systems and thus of the diagnostic functionality. Accordingly, the algorithms used in the self-diagnostics of control units represent a significant proportion of the source code. In current control units, this fraction can already reach 50% of the source code. Increasingly, stringent requirements for the accuracy of OBD functions together with the requirement for more comprehensive monitoring of vehicle operation (in-use monitoring) and permanent fault logging has led to functional extensions of the control unit software. The increasing complexity of the electronic control systems has led to a huge number of tunable parameters in the used algorithms. And this seems to be further increasing in the future. Also the amount of data that has to be programmed into the electronic systems at the end of the production line is continuously increasing. And as the time is critical during production, high bandwidth flashing technologies are necessary to run an efficient process.
The impact of the introduction of DoIP and Ethernet for the development of electric vehicles – Use cases and benefits
Proceedings
2015-05-06
16 pages
Article/Chapter (Book)
Electronic Resource
English
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