The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 24, 2017

Filed:

Dec. 21, 2012
Applicant:

Toyota Jidosha Kabushiki Kaisha, Toyota-shi, JP;

Inventor:

Hiroyoshi Yamamoto, Nagoya, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 27/416 (2006.01); G01R 31/3187 (2006.01); G01R 31/36 (2006.01);
U.S. Cl.
CPC ...
G01R 31/3187 (2013.01); G01R 31/362 (2013.01); G01R 31/3606 (2013.01); G01R 31/3658 (2013.01);
Abstract

An object is to provide, at low costs, a function for determining whether a monitoring section should execute a self-diagnosis. A monitoring system has a monitoring section for acquiring information on the charge and discharge state of an electric storage device and a determination section for determining the charge and discharge state of the electric storage device on the basis of information acquired by the monitoring section. The determination section has an output section for continuously outputting, to the monitoring section, a stepped signal made up of a High signal and a Low signal, and as well, when the charge and discharge state of the electric storage device has been determined to fall within an allowable range on the basis of the information acquired from the monitoring section, outputs a diagnosis permit signal that is a unique stepped signal having a period different from that before the determination, and when the signal received from the determination section has been determined to be the diagnosis permit signal, the monitoring section executes a self-diagnosis for detecting an abnormal event in the monitoring section.


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