Systematization of Investment Decision through xEV Vehicle Driving Energy Analysis

Wookhyun Han･Kwangchan Ko･Yong Lee (Hyundai Motor)

As the vehicle's power source moves from the engine to electrification, there is a major change in the architecture that makes up the vehicle. The various items proposed for vehicle application inevitably causes changes in weight and cost, and considering that the main factor of consumers purchasing an electric vehicle is the total cost of ownership (TCO), systematic criteria are needed to prioritize each item. In this study, the distribution of energy consumed during vehicle driving was reliably analyzed and the weight-fuel ratio coefficient was presented. Using the proposed coefficients, TCO analysis for various ideas can be performed, and through this, rational decision-making on whether to invest can be made.

Map-Incorporated Urban Traffic Scenario Generation with VAE

Takumi Monogami･Yunsoo Bok･Keisuke Yoneda･Naoki Suganuma (Kanazawa University)

Large-scale dataset of traffic scenarios is widely utilized for training, validation and verification of automated driving. However, due to the limited number of collectible data, data augmentation becomes imperative to ensure sufficient and diverse data. We propose a method that employs map and VAE to generate urban traffic scenarios, enabling the consideration of road topology and spatial relationships.

Demonstration Experiment of Home Carbon Neutral System through the Use of EV & Photovoltaic Power Generation
-Validation of efficiency for Virtual Grid-

Tsuguhiko Nakagawa (Gifu University)･Hideyuki Chisaka･Yoshikazu Miyagawa･Katsuhiko Furuya (Nichicon)

We have developed and built the system which could achieve carbon neutral of all energy to use at a home including the privately-owned car economically using Photovoltaic Power Generation and Electric Vehicle. The built energy system is managed by complete automatic control. The effect of the system has been verified the demonstration experiment through real life for more than one year. As the result, CO₂ emissions from home were reduced more than 90%.

Nagoya University International Education Summer Intensive Program: “Latest Advanced Technology & Trends in Automobile Engineering”

Yasuhiko Sakai･Hikaru Nakamura･Susumu Hara･Reiko Furuya･Gang Zeng･Emanuel Leleito･Dina Grib･Yumiko Goda (Nagoya University)

Nagoya University has conducted an international education program entitled "Advanced Technologies and Trends in Automotive Engineering" from June to July almost every year since 2008.　In this program, students from overseas and Japanese students study together to develop human resources who can play a role in a sustainable automotive society from a global perspective.　We will introduce the contents of the program in this presentation.