• Session No.56 xEV I (OS)
  • May 24Room G301+G3029:30-11:35
  • Chair: Takashi Majima (IHI Inspection & Instrumentation)
Contents
The newest control technologies of BEV, HEV, PHEV, and FCV (However, FC and their accessories are focused on in another session) systems or components that relate drive performance are discussed in this session.
Committee
Electric Drive Technology Committee
Organizer
Osamu Shimizu (The University of Tokyo), Takashi Majima (IHI Measurement), Shintaro Oshio (Nissan Motor)
No. Title・Author (Affiliation)
254

Development of HEV Battery SOC Control by Destination Prediction

Keita Asakura・Hiroyuki Tokita・Kan Saito (Toyota Motor)

In order to efficiently warm up engine in HEV during winter, we developed battery SOC control using destination prediction. It predicts the next destination based on the past driving history of the vehicle and estimates whether it will be parked for a long term. When it is estimated that the vehicle will be parked for a long term, the battery SOC will be changed in preparation for warm-up control on the next trip.

255

3.5Litter Plugin Hybrid System for the Chauffeur
-“Inheritance” and “Evolution”-

Kei Mashiki・Keita Hashimoto・Takaji Kikuchi (Toyota Motor)

Along with the renewal of the Toyota Century, the new V6 3.5L PHEV system was developed with the aim of achieving three outstanding performance points of "comfort, quietness, and ride comfort" when riding.
In order to provide chauffeur cars for a carbon-neutral society, we adopted a PHEV system that can use two power sources, an engine and a motor.
It achieved a maximum output of 303kW, an EV range of 69km, and a WLTC mode fuel economy of 14.2km/L.

256

Downsizing and Cost Reduction of e-Drive-Unit by Innovative Phase Change Cooling

Christoph Danzer・Stephan Guenther・Volker Ambrosius・Philipp Moritz・Thomas Arnold・Tobias Voigt・Manfred Prueger・Michael Barth・Marc Sens・Heiko Rabba (IAV)

Electric vehicles are dominated by high efficiency requirements and highest cost pressure. In contrast to improving the power density of electric axles with the aim of higher performance, IAV applies the advanced phase change cooling technology (PCC) which offers the potential to close the gap between peak and continuous power level. Target is the evaluation of the cost- & size-reduction of the electrical machine and the inverter by ensuring the same vehicle performance and efficiency level. Finally, IAV will recommend the best-balanced powertrain system and its po-tential for the next generation of carbon neutral electric mobility.

257

A Study on Energy Analysis and Effect of Energy Efficiency by Vehicle Factors in Certification Mode using EV Analysis Model

Sung-Jin Kim・Hyung-Jin Kim・Sang-Jae Lee・Oh-Sung Choi・Kang-Won Lee・Deok-keun Shin (Hyundai Motor)

This paper shows the study of EV energy flow analysis and influences of EV factors for AER/Energy efficiency in certification mode. Energy flow analysis is a tool for calculating of driving and regeneration energy of EV to find important influence factors. To define priority factors of EV for AER/Energy efficiency and degree of influence in detail, specific factor variation analysis is also carried out. To study detail influence factors of EV helps to develop the high AER/Energy efficiency vehicle.

258

Evaluation of Vibration Suppression Control for Parallel Shaft e-Axle using Test Bench System

Michi Oda (The University of Tokyo/Onosokki)・Sakahisa Nagai・Hiroshi Fujimoto (The University of Tokyo)・Koji Sato・Kana Mizoguchi・Naoki Takizawa (Onosokki)・Hidemasa Fujita・Kota Yamamoto・Tohru Urano (Mitsubishi Motors)

Unlike internal-combustion engine vehicles, electrified vehicles can suppress the vibration by the motor which can output positive and negative torque with high responsiveness. In this paper, we describe the control development using the test bench to suppress the vibration caused by bushes and drive shafts on a vehicle with an e-Axle. In the test bench, low-inertia dynamometers are used, which can simulate the vehicle behavior with high reproducibility and accurately measure the frequency responses that cannot be obtained in an actual driving test. In addition, the controller designs can be developed efficiently.

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