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Hitachi

Hitachi Automotive Systems Ltd.

Research and Development / Simulation / analysis technologies

The Hitachi Group’s formidable simulation & analysis technologies for phenomena such as combustion, spray patterns, and electromagnetic fields are applied to the development of automotive technologies to create a safe, clean, and comfortable automotive society.

Fuell Spray Analysis Technorogy

Due to the growing recognition of environmental issues, increasingly stringent environmental regulations, and other factors, demand is increasing for vehicles with cleaner emissions and greater engine efficiency. Analysis of internal nozzle flow is utilized to improve the fuel spray atomization characteristics that determine combustion performance. Accurate modelling of fuel spray configurations and fuel-air mixture simulations are also conducted. Through these processes, we propose designs to produce spray patterns that uniformly mix fuel and air in the combustion chamber, resulting in clean combustion.

images : Fuell Spray Analysis Technorogy

Vehicle Notion Control Technologies

G-Vectoring Control (GVC) is a vehicle motion control technology developed from research conducted in collaboration with the Kanagawa Institute of Technology. Our vehicle control algorithm ensures smooth and efficient vehicle motion by linking the horizontal and vertical motion of the vehicle in order to optimize the ground load between the four wheels, resulting in the vehicle moving as if handled by a skilled driver.

images : Vehicle Notion Control Technologies

Autonomous Driving Simulator

In order to verify the safety of Autonomous Driving, extensive test driving is required. In response, we have developed simulation technology that enables virtual test driving. On a computer, a virtually driven vehicle sends sensor information to an actual Autonomous Driving ECU. Based on the sensor information, the ECU then generates vehicle control information and reproduces vehicle behavior. Through this technology, we can perform functional verification and quality improvement of Autonomous Driving systems.

images : Autonomous Driving Simulator

  • *Previously, sensor and map data was individually processed and managed. However, we have developed an ECU that utilizes a built-in, real-time database to organize data by type, thereby reducing registration and search time to approximately 10 microseconds, 1/100th of the time compared to previous in-house figures.