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Würzburg, Germany

Khokar R.S.,Tata Motors | Robson N.,Tata Motors | Degardins P.,INTEDIS GmbH and Co. KG
AutoTechnology | Year: 2010

The Nano architecture is clearly focussed on costs and no reserves were planned for an upward scaling. This is particularly true in the body domain, since Nano has no central body controller. For Tata Motors a generic architecture is a solution allowing development of new or derivative vehicles with optimal cost, short development time and with smooth validation/ integration. Tata Motors does not only face this scalability issue with low cost models. There is unfortunately no magic architecture matching the requirements of both, complexity and scalability. The first phase was the marketing definition of the platform. The objective was to decide on a functional content and scalability, based on economical data. Intedis brought its unique methodology to isolate function costs in highly integrated architectures.

Scheuch V.,INTEDIS GmbH and Co. KG | Kaiser G.,INTEDIS GmbH and Co. KG | Holzmann F.,INTEDIS GmbH and Co. KG | Glaser S.,French Institute of Science and Technology for Transport
Advanced Microsystems for Automotive Applications 2012: Smart Systems for Safe, Sustainable and Networked Vehicles | Year: 2012

E/E architectures become more and more complex and thus hamper the introduction of new functions which in turn are essential for the development of electric vehicles. Consequently, new concepts are needed to enable an easy introduction of new technologies along with an interconnected but still manageable architecture. The proposed functional architecture approach aims at a safe operation of electric vehicles with a well defined decision path from the driver and the ADAS functions in the command layer to the actuators of the execution layer. The backbone of this architecture consists of two dedicated decision units. The command decision unit mitigates between requests coming from the driver and the ADAS functions whereas the execution decision unit selects the best actor signals for the current vehicle status. One benefit of this hierarchic approach is the ability to control the validity and the transition between driving modes by a set of rules which can be designed and adjusted to meet the vehicle requirements individually. The concept is not limiting the number of driving modes but is scalable for future applications, different market needs, and vehicle configurations.

Korte M.,INTEDIS GmbH and Co. KG | Kaiser G.,INTEDIS GmbH and Co. KG | Scheuch V.,INTEDIS GmbH and Co. KG | Holzmann F.,INTEDIS GmbH and Co. KG | Roth H.,University of Siegen
Advanced Microsystems for Automotive Applications 2012: Smart Systems for Safe, Sustainable and Networked Vehicles | Year: 2012

With the increasing number and complexity of Advanced Driver Assistance Systems (ADAS) and rising control facility by individual controllable drives in electric vehicles (EV) the reliability of sensor signals becomes more and more important in nowadays vehicles. In order to enhance the safety, the estimation of vehicle states and parameters gets more relevant. In most state of the art functions a vehicle observer secures the correctness of the delivered states. As the performance of observers depends on their input signals a novel plausibility check is implemented. In this paper the checked signals serve the designed adaptive vehicle observer, based on Extended Kalman filtering technique, as input signals. Thus the integrated vehicle functions can control the electric actuators with more precision in order to improve the driving performance and a minimization of energy consumption by an optimal use of the available road traction. The complete system, existing of plausibility check and observer is validated by simulation and will be implemented in an electric vehicle within the EU funded project eFuture.

Glaser S.,A Research Unit of IFSTTAR | Orfila O.,A Research Unit of IFSTTAR | Nouveliere L.,A Research Unit of IFSTTAR | Potarusov R.,A Research Unit of IFSTTAR | And 3 more authors.
IEEE Intelligent Vehicles Symposium, Proceedings | Year: 2013

This paper presents an optimization of a conventional Adaptive Cruise Control system (ACC) for the specific use of electric vehicles with regenerative capacity, namely the Smart and Green ACC (SAGA). Longitudinal control strategies, that are developed for the driving assistances, mainly aim at optimizing the safety and the comfort of the vehicle occupants. Electric vehicles have the possibility, depending on the architecture, the speed and the braking demand, to regenerate a part of the electric energy during the braking. Moreover, the electric vehicle range is currently limited. The opportunity to adapt the braking of an ACC system to extend slightly the range must not be avoided. When the ACC is active, the vehicle speed is controlled automatically either to maintain a given clearance to a forward vehicle, or to maintain the driver desired speed, whichever is lower. We define how we can optimize both mode and what is the impact, in term of safety and strategy, including the knowledge of the future of the road, integrating a navigation system. © 2013 IEEE.

Akhegaonkar S.,INTEDIS GmbH and Co. KG | Glaser S.,LIVIC Laboratory on Interactions Vehicles Infrastructure Drivers | Nouveliere L.,LIVIC Laboratory on Interactions Vehicles Infrastructure Drivers | Holzmann F.,INTEDIS GmbH and Co. KG
2013 World Electric Vehicle Symposium and Exhibition, EVS 2014 | Year: 2014

The successful transition of fully electric vehicle into automotive market is plagued with expensive product prices and limited drive range. While manufacturers point to fuel saving benefits, the actual cost savings after the first battery replacement presents negative economics. Hence it is necessary to maximise the fuel saving costs and to prolong the battery life as much as possible. The situation calls for an assistant system which takes into consideration the inherent propulsion system dynamics of electric vehicle in two typical situations - namely city and highway. Here we propose a combination of two systems, first a dynamic programming based acceleration controller for city cycle and second, an eHorizon based ACC system for maximum recuperation on highways. This paper is an extension of papers [1,2] and forms a series which is attributed to the development of a partial or complete 'Safe and energy efficient longitudinal vehicle controller'. Such a controller is named 'SAGA' - Smart and Green Automated Cruise Control. It is an ecological driver assistance system (eDAS) that adapts the vehicle speed over all its speed range according to a forward vehicle and to road events in a near horizon (legal speed, curves, etc.) with an aim to reduce the energy consumption without compromising on safety. © 2013 IEEE.

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