Electronic failures and monitoring strategies in automotive control units

2007 ◽  
Author(s):  
K. Pickard ◽  
T. Leopold ◽  
P. Muller ◽  
B. Bertsche
Keyword(s):  
Automotive Control ◽  
Monitoring Strategies ◽  
Control Units

Hypervisor for consolidating real-time automotive control units: Its procedure, implications and hidden pitfalls

2018 ◽  
Vol 82 ◽  
pp. 37-48 ◽  
Author(s):  
Arun Kumar Sundar Rajan ◽  
Armin Feucht ◽  
Lothar Gamer ◽  
Idriz Smaili ◽  
Nirmala Devi M.
Keyword(s):  
Real Time ◽  
Automotive Control ◽  
Control Units

Lubricating Characteristics of Fluorine Grease Containing Silica Nanoparticles

2008 ◽  
Author(s):  
Michita Hokao ◽  
Atsushi Yokouchi
Keyword(s):  
High Temperature ◽  
Service Life ◽  
Silica Nanoparticles ◽  
Operating Conditions ◽  
Automotive Control ◽  
Control Units ◽  
Temperature Operating

Electrical motor bearings for use in automotive control units are sometimes exposed to high-temperature operating conditions. Therefore, these bearings are sometimes packed with fluorine grease in order to meet the demand for long service life performance. In recent years, there is growing demand for lower initial torque in these same bearings without sacrificing service life performance. This paper describes the effects of fluorine grease containing silica nanoparticles on initial bearing torque of electrical motor bearings. Silica nanoparticles are effective in helping to reduce amounts of initial bearing torque and help stabilize bearing torque due to improved channeling characteristics.

Verification of Automotive Control Units

1999 ◽  
pp. 319-319 ◽  
Author(s):  
Tom Bienmüllor ◽  
Jürgon Bohn ◽  
Henning Brinkmann ◽  
Udo Brockmeyer ◽  
Werner Damm ◽  
...  
Keyword(s):  
Automotive Control ◽  
Control Units

scholarly journals Future Mobility

2013 ◽  
Vol 135 (03) ◽  
pp. S18-S24 ◽  
Author(s):  
Dimitar Filev ◽  
Jianbo Lu ◽  
Davor Hrovat
Keyword(s):  
Cloud Computing ◽  
Control Strategies ◽  
Predictive Diagnosis ◽  
Automotive Control ◽  
Control Approach ◽  
Computing Paradigm ◽  
Vehicle Data ◽  
Control Units ◽  
And Performance ◽  
Line Setting

This article presents an automotive control approach for information-rich future mobility. It integrates in-vehicle networked controls with cloud computing accessible through a wireless network to elevate current on-board controls to a new level for additional benefits and performance. Outsourcing computation-intensive tasks to a cloud-computing server is an extension of the current server-based concierge/infotainment type features. While in-vehicle controls remain essential for safety critical and real-time functionality, the cloud-computing paradigm offers another degree of freedom for control system design. In future vehicle controls, the cloud can be used for very demanding computations that otherwise cannot be accomplished by on-board electronic control units (ECUs), especially for information-intensive tasks. The so-called local-simple-remote-complex vehicle control strategies are likely to unlock the potential of implementing methods and tools that are presently used only in an off-line setting. The cloud can also be used as a storage place to record current and historic vehicle data that can be used for predictive diagnosis and prognostics of the vehicle health.

Miniaturised Connector System for Automotive Control Units

2017 ◽  
Vol 12 (4) ◽  
pp. 28-31
Author(s):  
Jürgen Götz ◽  
Jochen Karls ◽  
Thomas Kaiser ◽  
Martin Hager
Keyword(s):  
Automotive Control ◽  
Control Units
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