Terms:
SAE International Journal of Passenger Cars Electronic and Electrical Systems
AND
11
AND
2
Show Only

Collections

Content Types

Dates

Sectors

Topics

Authors

Publishers

Affiliations

   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Automated ASIL Allocation and Decomposition according to ISO 26262, Using the Example of Vehicle Electrical Systems for Automated Driving

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

Robert Bosch GmbH-Patrick Münzing, Oliver Koller
University of Stuttgart-AndreasBernd OstertagBertsche
  • Journal Article
  • 07-11-02-0011
Published 2018-04-18 by SAE International in United States
ISO 26262 needs to be considered when developing safety-relevant E/E systems within the automotive industry. One part of the development process according to ISO 26262 is the derivation of the safety requirements for component functions. Here, one attribute of the safety requirements is the Automotive Safety Integrity Level (ASIL). The ASIL at a component level can be determined using ASIL allocation and decomposition. Considering complex systems such as vehicle electrical systems, countless possibilities can be identified for how the ASILs at a component level can be assigned in line with safety goals. In terms of efficiency, manual assignment is not expedient. Therefore, an algorithm for automated assignment of the ASILs will be introduced which considers constraints based on a fault tree analysis. The function of the approach will be demonstrated using the example of a vehicle electrical system from an automated vehicle.
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Parasitic Battery Drain Problems and AUTOSAR Acceptance Testing

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

Visteon Technical and Services Center (VTSC)-Anandan Thiyagaraj
  • Journal Article
  • 07-11-02-0013
Published 2018-04-18 by SAE International in United States
Battery Drain problems can occur in the vehicle due to improper network management between electronic control units (ECUs). Aim of this article is to identify the factors that cause transmission and cease of transmission of a network management message of an ECU along with its application messages that controls the sleep/wake-up performance of other ECUs in the network. Strategy used here is, based on the root cause analysis of problems found in Display unit in vehicle environment, the functional CAN signals impacting sleep/wake-up behavior is re-mapped along with the state flow transition of AUTOSAR NM Algorithm. A re-defined test case design and simulation for vehicle model is created. Especially it focuses on validating the impact of functional CAN signals on DUT’s sleep/wake-up performance. The result includes, design and development of use case matrix(mapped with specification) to validate the impact of network management messages, its flow of transition as well as the impact of functional CAN messages on the sleep/wake-up behavior of DUT and on the system as a whole. Also a new set of system…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Optimal Electric Vehicle Design Tool Using Genetic Algorithms

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

Gabes University-Saber Hadj Abdallah
Sfax University-Souhir Tounsi
  • Journal Article
  • 07-11-02-0010
Published 2018-04-18 by SAE International in United States
The proposed approach present the development of a computer tool that allows, in the first phase, the modeling of the electric vehicle power chain. This phase is based on a library developed under the Matlab-Simulink simulation environment. This library contains all the components of the power chain; it offers the selection of the desired configuration of each component. In the second phase, the tool solves the autonomy optimization problem. This problem is resolved by a program based on genetic algorithms. This program permits to optimize the configuration parameters maximizing the vehicle autonomy of the chosen chain. This tool is based on a graphical interface developed under the Matlab simulation environment.
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Experimental Study on the Internal Resistance and Heat Generation Characteristics of Lithium Ion Power Battery with NCM/C Material System

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

Beijing Institute of Technology-Jing Wang, Chuncheng Liu, Yuefeng Su, Shi Chen, Feng Wu
China Automotive Technology and Research Center Co., Ltd.-Shiqiang Liu, Chunjing Lin, Fang Wang
  • Journal Article
  • 07-11-02-0012
Published 2018-04-18 by SAE International in United States
Heat generation characteristics of lithium ion batteries are vital for both the optimization of the battery cells and thermal management system design of battery packs. Compared with other factors, internal resistance has great influence on the thermal behavior of Li-ion batteries. Focus on a 3 Ah pouch type battery cell with the NCM/C material system, this article quantitatively evaluates the battery heat generation behavior using an Extended Volume-Accelerating Rate Calorimeter in combination with a battery cycler. Also, internal resistances of the battery cell are measured using both the hybrid pulse power characteristic (HPPC) and electro-chemical impedance spectroscopy (EIS) methods. Experimental results show that the overall internal resistance obtained by the EIS method is close to the ohmic resistance measured by the HPPC method. Heat generation power of the battery cell is small during discharge processes lower than 0.5 C-rate. The curve of heat generation power vs. time shows a U-shaped characteristic that displays some symmetry when the current rate is high. Compared with the EIS method, internal resistances measured by the HPPC method have a…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Personalized Controller Design for Electric Power Steering System Based on Driver Behavior

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

Dongfeng Auto-Ning Bian
Jilin University-Bing Zhu, Shude Yan, Jian Zhao, Weiwen Deng
  • Journal Article
  • 07-11-02-0008
Published 2017-09-23 by SAE International in United States
Electric power steering (EPS) system is a kind of dynamic control system for vehicle steering, which can amplify the driver steering torque inputs to the vehicle to improve steering comfortable and performance, but the present EPS can’t cater to the driving habits of different people. In this article, a personalized EPS controller is designed based on the driver behavior, which combines real-time driver behavior identification strategy with personalized assistance characteristic. Firstly, the driver behavior data acquisition system is designed and established, based on which, the input data of different kinds of drivers along with vehicle signals are collected under typical working conditions, then the identification of driver behavior online is realized using the BP neural network. Secondly, the personalized assistance characteristic curve is selected according to the identification results, and the close loop proportional-integral-derivative (PID) control strategies and pulse width modulation (PWM) method are adopted to control the target current of the motor of the EPS system. Finally, the co-simulation of Simulink and Carsim are carried out, and the results show that personalized electric power…
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Bench Testing Validation of Wireless Power Transfer up to 7.7kW Based on SAE J2954

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

BMW AG-Jesse Schneider
Delphi Packard Electric Systems-Rich Boyer
  • Journal Article
  • 07-11-02-0009
Published 2017-10-08 by SAE International in United States
Wireless Power Transfer (WPT) is presently being applied to consumer electronics in the low-power range and is planned to be commercialized in the high-power range for plug-in and electric vehicles in 2018. There are, however, many technology challenges remaining before widespread implementation of high-power WPT will occur. The SAE Vehicle Wireless Power and Alignment Taskforce published the Technical Information Report J2954 in 2016 to help harmonize the first phase of high-power WPT technology development. SAE J2954 adopts a performance-based approach to standardizing WPT by specifying ground and assembly coils to be used in a test stand (per Z-class) to validate performance, interoperability and safety. The main goal of this SAE J2954 bench testing campaign was to prove interoperability between WPT systems utilizing different coil magnetic topologies for SAE TIR J2954. The main challenge is that this type of testing had not been done before on such a scale with real automaker and supplier systems. A number of automakers, suppliers and government employees worked together to create a test plan, perform the testing and analyze the…
This content contains downloadable datasets
Annotation ability available