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With the advent of hybrid and electric cars battery monitoring systems and battery management systems have become bundled with more and more sophisticated algorithms and specifications. The validation of these systems are a head ache for OEMs and Tier ones considering the massive battery, high voltage and the current involved with the real loads directly or in directly connected to them. This paper is aimed at providing an intuitive explanation of these challenges and solutions which employ HILS for the component level validation of the above units. . Conventional validation for these systems produce test results much later in the embedded product development life cycle which calls for an additional over head of cost, resource, time and effort. A Proposed solution is to find the accuracy of SOC, SOH estimation algorithm in the battery monitoring sensor which usually will be clamped to the real battery itself.

Network Management protocols are implemented in ECUs to provide a start-up of the network, node monitoring and to ensure that they go to a proper sleep mode when they don’t need the network, coordination among ECUs, support of diagnosis, reading and setting of network specific parameters and proper wake up of the network. OSEK/VDX based network management protocol is the most widely used among OEMs and its validation has proved to be of utmost importance these days. This paper is proposing a scalable validation framework using the model based architecture and relevant hardware to test the conformance of ECUs to the specifications of OSEK/VDX NM. OSEK/VDX works mainly via the exchange of network management CAN messages between the ECUs.

Unified Diagnostic Service and On Board Diagnostics require a client side device with necessary software to implement certain specific algorithms. This paper proposes a highly optimized and generic model based architecture to implement client side algorithms used in Unified Diagnostic Service systems and with On Board Diagnostics which can be reused for any hardware target. The proposed method can implement particular algorithms which include flow control, timing control, database parsing, logging of messages, diagnostic database parsing, security unlock, intuitive HMI layer, DTC display with textual information, frame control, multi network - multi ECU support, software flashing, physical-functional message handling, and interfacing for multiple hardware host devices. Re-usability of this model based product ensures that it can be ported to the diagnostic tool used by a work shop engineer or by a diagnostics validation engineer working at OEM or Tier 1suppliers.

Advanced driver assistance features like Advanced Emergency Brake Assist, Adaptive Cruise Control, Blind Spot Monitoring, Stop and Go, Pedestrian Detection, Obstacle Detection and Collision Detection are becoming mandatory in many countries. This is because of the promising results received in reducing 75% of fatalities related to road accidents. All these features use RADAR in detecting the range, speed and even direction of multiple targets using complex signal processing algorithm. Testing such ECUs is becoming too difficult considering the fact that the RADAR is integrated in the PCB of ECU. Hence the simulation of RADAR sensor for emulation of various real world scenarios is not a preferred solution for OEMs. Furthermore, Tier ones are not interested in a testing solution where the real RADAR sensor is bypassed. This paper discusses such issues which include the validation of the most modern Electronic Scanning RADARs.

HILS is a proven and essential part of the embedded product development life cycle which strives to reduce effort, time and cost spent on automotive validation activities. An efficient HILS system allows to create a precise simulation environment for the ECU which is made to believe that it is sitting inside a real vehicle and there by the intended functionalities implemented in the same could be tested even before the vehicle prototypes or other ECUs or sensors and actuators are available. An inefficient and faulty HILS system provides erroneous test results which could lead to wrong inferences. This paper is proposing a standardized process flow aided by specific documentation and design concepts which validates that the test system designed is robust and caters to the actual requirement. The Design stage starts by a requirement gathering phase where the analysis of the device under test is executed in detail.