公开(公告)号：US20230123299A1

公开(公告)日：2023-04-20

申请号：US17914340

申请日：2021-03-16

Applicant: HORIBA, LTD.

Inventor： Takashi SAITO ,  Kazuki FURUKAWA

IPC: G01M17/007

Abstract: The present invention enables the measuring and evaluating of variations in vehicle fuel consumption and emission test results due to differences in driving style. An automatic operation device that automatically operates a test part based on a command vehicle speed includes a receiving unit, a command vehicle speed shaping unit, and an operation control unit. The receiving unit receives a driving mode set or changed by a user. The command vehicle speed shaping unit shapes a command vehicle speed r(t) based on the driving mode received by the receiving unit. The operation control unit controls an operation of the test part by a shaped command vehicle speed r′(t) obtained by the command vehicle speed shaping unit.

公开(公告)号：US20230150504A1

公开(公告)日：2023-05-18

申请号：US17918056

申请日：2021-02-24

Applicant: HORIBA, LTD.

Inventor： Yoshitake ANDO ,  Takashi SAITO

IPC: B60W30/18 ,  G01C21/00

CPC classification number: B60W30/18109 ,  G01C21/3859 ,  B60W2510/182 ,  B60W2510/104

Abstract: The present invention is intended to make it possible to automatically drive a test object without performing pre-learning for a running performance map for each vehicle. There is provided an automatic test object driving device that automatically drives a test vehicle based on a command vehicle speed, and that includes a driving actuator for performing driving operation of the test vehicle, and a driving control unit for controlling the driving actuator. The driving control unit includes a first accelerator map and a second accelerator map each of which indicates a relationship among a vehicle-speed-related value, an acceleration-related value, and an accelerator-depression-amount-related value. The driving control unit uses the first accelerator map to determine an accelerator depression amount corresponding to the command vehicle speed, and uses the second accelerator map to correct the accelerator depression amount by feeding back a vehicle speed and an acceleration of the test vehicle.

公开(公告)号：US20240418638A1

公开(公告)日：2024-12-19

申请号：US18717865

申请日：2022-10-26

Applicant: HORIBA, LTD.

Inventor： Makoto NAGAOKA ,  Takashi SAITO

IPC: G01N21/3504 ,  G01N21/35 ,  G06N20/00

Abstract: A machine learning device used in an exhaust gas analysis device that irradiates combustion exhaust gas with light, performs a detection of light transmitted through the combustion exhaust gas, and analyzes the combustion exhaust gas based on a detection signal includes a training data reception unit that receives training data including a reference value of a specific component concentration and at least one of spectrum data obtained by irradiating the combustion exhaust gas with light or an individual component concentration selected based on an element balance formula for determining the specific component concentration, or an arithmetic value of a specific component concentration calculated using the individual component concentration in the element balance formula, and a machine learning unit that performs machine learning on a relationship between the reference value and at least one of the spectrum data, the individual component concentration, or the arithmetic value using the training data.