myESTINO

myESTINO: Supporting your Product Design


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Real world customer data is essential key for successful product design


Concept / Design phase

Using real component loads in representative customer fleets is essential when it comes to finding answers to questions which come up in the concept and design phase.


Example: ESTINO real world fatigue damage factors K in comparison to results from test fleets (F) and test benches (P)

Example: ESTINO real world fatigue damage factors K in comparison to results from test fleets (F) and test benches (P)



myESTINO
offers support in closing the engineering circle and provides technical transparency concerning loads on components during the utilization phase as an additional reference.

  • Validating the required degree of maturity
  • Continuous improvement process
  • Comparison of the theoretically determined service life and the actual and/or calculated service life in the field
  • Early detection of damage and determination of failure trends


Product validation

The variance of real component loads in representative customer fleets is decisive when it comes to answering questions during the testing phase.


Example: ESTINO real world fatigue damage factors K in comparison to three different test tracks (F1,F2,F3) to determine accelaration factors

Example: ESTINO real world fatigue damage factors K in comparison to three different test tracks (F1,F2,F3) to determine accelaration factors



myESTINO
offers support in closing the testing circle and provides information on the customer’s scope of application as an additional reference.

  • Validation of acceleration factors
  • Calculation of failure probability by comparing load and resistance to load
  • Clarification and validation of technical questions and matters using real customer fleets
  • Deriving and correlating acceleration factors by direct comparison of customer behavior
  • Selecting appropriate test tracks, also internationally
  • Validation of the test track mix (test track profile, mileage, load, etc.)
  • Validation of the Design of Experiments (DoE) strategy and the testing plan


Quality management

Estimating the expected failure rate of components in representative customer fleets is essential for the preliminary calculation of warranty and goodwill costs.


Example: ESTINO real world component load in comparison to load capacity resulting and probalility of failure

Example: ESTINO real world component load in comparison to load capacity resulting and probalility of failure



myESTINO
provides support in determining the failure rate by taking the utilization phase into account.

  • Early detection of damage based on the identification of failure trends
  • Calculation of the Bq service life
  • Estimating the failure rate
  • Validation of reliability requirements in field applications (ppm/a)
  • Preliminary calculation of the warranty and goodwill costs to be expected
  • Monitoring of component quality across different degrees of maturity

myESTINO: Supporting your Aftersales-Service activities

Maintenance and repair

Information on required or preventative service measures based on detailed field observation is essential for reliable product availability.
By monitoring critical operating conditions, myESTINO makes it easier to schedule maintenance and service scopes to reduce downtime.

  • Preventative repairs to avoid complete failure
  • Increased vehicle or facility availability
  • Reducing downtime and repair times
  • Fewer product recalls


Example: ESTINO real world fatigue damage factors K in three different sales markets (A,B,B) in comparison to results from test fleets (F) and test benches (P)

Example: ESTINO real world fatigue damage factors K in three different sales markets (A,B,B) in comparison to results from test fleets (F) and test benches (P)


Sales and marketing

Information on the operating behavior during the utilization phase can help manufacturers gain valuable insights for the implementation of a consultancy and sales strategy.
myESTINO provides assistance in clustering customer-relevant characteristics with a view to optimizing consultancy services for custom-tailored products and targeted sales promotion measures.

Insurance / risk management

For the purpose of optimizing risk assessment, technical feedback based on network data from representative customer fleets is more precise than GPS systems.
myESTINO supports both business and private customers in defining and analyzing individual parameters to help them better assess the overall risk in more detail.

Innovative Embedded Software & Hardware solutions

Embedded Software & Hardware

The challenging environmental conditions in vehicles result in special software and hardware requirements. To fulfill these requirements, the selection of the right components must be made with the utmost care.
Particular attention should be paid to choosing a design which is failure-resistant. An additional device must under no circumstances influence the existing network of control units.
The common data transfer rates between control units and the recording durations required for practical purposes result in a large volume of data. However, intelligent algorithms in the control unit enable a dramatical reduction in this volume without compromising the information required for the respective application.
The main task of the software used for embedded systems is to ensure a reaction to an event without any delay. This is the fundamental difference between this software and software which is typically used for computers.
Thanks to our long-standing experience in the automotive industry, we are in a position to offer reliable and inexpensive solutions for this purpose.

Innovative Server applications

Server applications

The system can easily be adjusted to fulfill changing requirements; for example, uploads to the server can be initiated either at times independently defined by the user or directly.
If the server connection server is interrupted during the data transfer, the software will detect this problem. In this case, the system will keep initiating a renewed transfer of the data until a consistency check confirms that the entire data has been transferred completely and without any errors.
This makes it possible to reliably access the locally available data anywhere and at any point in time.

Reliability Engineering

Reliability Engineering

Ensuring that service life and reliability specifications are met often requires elaborate validation steps, such as simulation, test bench, and vehicle tests.
If, however, statistically relevant customer profiles are available, the validation concept can be optimized considerably in terms of cost and time, for instance by using acceleration factors. This can lead to considerable savings both for the entire vehicle and the development process.
Customer data can also be used to make calculations of components and assemblies with regard to their design and materials more precise.
It is our pleasure to support you with our extensive experience in this environment, from selecting appropriate CAN signals to evaluating the recorded data in terms of statements on service life and reliability.

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Practical examples from use in updated product design processes

Autonomous driving:

The defensive layout of drive systems designed for autonomous driving exerts a different kind of stress on the mechanical systems than the stress caused by a person driving the vehicle. By collecting data on stress caused by transverse and longitudinal control and on the use of driver assistance systems as well as by mapping infrastructure parameters, the required design differences can be estimated. A more targeted design of, for example, an electric drive train can make the vehicle lighter while safeguarding its mechanical capabilities.

Validation of carry-over part strategies for different markets:

Targeted observation of a small number of customer vehicles in real operation and statistical validation of the results can help transfer failure rates to new markets or newly introduced components.

Individual stress characteristics which are collected and evaluated before the market launch can make preliminary calculations of failure rates even more precise. This makes it possible to reduce engineering times and costs, as well as the decision making arena .

Validation of component releases:

A direct comparison of component requirements under operating conditions during the customer utilization phase makes it easier to validate a component release. If the load spectrum of the 99 % customer is defined at the beginning of the development phase, an iterative product development process can be influenced decisively in terms of cost and market requirements.