No. | Title・Author (Affiliation) |
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301 |
Analysis of High-Frequency Noise Due to In-Cylinder Resonance in Diesel Engines Masanori Ishikawa・Kiyoshi Iwade (SOKEN)・Takashi Kawachi・Tsutomu Umehara・Yoshiyuki Murai (Toyota Industries) Until now, noise reduction measures have been taken mainly in the frequency range of 2 to 3 kHz with regard to radiated noise from diesel engines. As a result, a high-frequency random sound around 5 kHz has become apparent, and we will focus on this and study countermeasures. |
302 |
Performance Evaluation of EV Traction Batteries via Impedance Measurement Takumi Mori・Nozomu Teranishi (Hioki E.E.)・Toshimichi Takahashi (Meidensha) A method for directly measuring the voltage and impedance of EV traction batteries through the rapid (DC) charging port is reported. The principles and verification results of this approach are presented. A methodology for assessing and managing battery state, based on physical quantities obtained through this method, is proposed with the aim of ensuring secure long-term EV usage and maximizing the value of the batteries, thereby contributing to the realization of a sustainable circular society. |
303 |
Implementation of Virtual Sensors for Virtualization of Wheel Force Transducers to Evaluate Actual Use of Customer Vehicles Martin Zeller・Kahlid Bouazi・Daniel Dilmetz (COMPREDICT)・Akihito Itakura・Mitsuo Harino (Suzuki Motor) This paper presents a joint project between COMPREDICT and Suzuki Japan using Virtual Sensor technology to improve vehicle development. The goal of implementing Virtual Sensors is to enhance the understanding of the difference between assumptions made during the development process and the actual usage of customer vehicles in the field, in order to optimize the dimensioning of vehicle components. By implementing Virtual Sensors, Suzuki's mobility portfolio will be made more efficient, safer and sustainable. |
304 |
A Strategy of Digital Transformation for Vehicle Development Standard using Artificial Intelligence Sang In Park・Yool Koo Kim・Ji Hye Park (Hyundai Motor) The vehicle development standard is a document that is the backbone of vehicle development and describes the requirements for various performance. Data that can be quantitatively quantified such as tensile strength, and elongation guarantee the objectivity of judgment results. However, data such as color difference, and texture that depend on human qualitative senses cannot guarantee the objectivity of judgment results and standards. In this paper, we propose a detailed digital transformation strategy for vehicle development standards using artificial intelligence developed for the purpose of regulating the quantitative performance of image-type data, which is subject to human visual judgment. |
305 |
Outline of JASO E018 Part-2, which Standardizes the Performance Requirements of a chassis Dynamometer Test System and its Method of reproducing Actual Driving Conditions Shohei Nakagawa (Honda Motor)・Akira Noda (Japan Automobile Transport Technology Accociation)・Hisakazu Suzuki (NALTEC)・Isamu Inoue (Ono Sokki)・Yasuhiro Ogawa (Horiba)・Toshinobu Furuta (Meidensha)・Hideyuki Kuba (Mazda)・Kenji Sato (Toyota Motor)・Yasuhito Takemura (Daihatsu Motor)・Masato Taniwaki (Suzuki Motor)・Noriaki Nakate (Japan Automobile Transport Technology Accociation)・Masaki Naruke (JARI)・Takayuki Fumoto (Mitsubishi Motors)・Keita Mori (SUBARU)・Keiichi Masutani (Nissan Motor) JASO E018 standard regulates control requirements and performance evaluation methods of chassis dynamometers for evaluating fuel consumption, power consumption, and exhaust emissions during actual driving and for reproducing a wide variety of driving conditions on test bench. Part-2 had newly standardized evaluation method of slip characteristics between rollers and tires that occur under rapid acceleration and deceleration conditions. In this paper, reports various requirements and their evaluation methods, also the objective. |