Toyota Jidosha Kabushiki Kaisha

Denso Corporation

Nippon Soken, Inc.

Daikin Industries, Ltd.

Nippondenso Co., Ltd.

Other

Nidek Co., Ltd.

Toshiyuki Kawai

Kunio Okamoto

Tomonori Imamura

Keiichi Kato

Hiroto Asano

Shinichi Kinoshita

Akimasa Osaki

Yuuji Koike

Takeshi Abe

Shigeaki Yamazaki

Hidetoshi Kato

Daisuke Makino

Tomohiro Saito

Mitsunobu Uchida

Hiroyasu Kudou

Tetsuya Kobayashi

Takashi Yamashita

Torahiko Sasaki

Hideshi Izuhara

Tadashi Hattori

Mitsuo Inagaki

Hironori Asa

Sadahisa Onimaru

Kazunari Shimizu

Seizi Huzino

Takayuki Akaishi

Nobuyoshi Sakakibara

Yuichi Sakajo

Shoji Sakai

Shinichi Ito

Tetsuro Kikuchi

Fumio Ohara

Yukinobu Ban

Tsukasa Kato

Hiroyuki Tokita

Shinji Kishida

Katsuhide Kikuchi

Hideki Kashiwagi

Shinya Sakaguchi

Hideaki Tanaka

Shugen Yamamura

Tomoya Katoh

Katsuhisa Yoshikawa

Kazunori Kawamoto

Takamichi Mitsui

Ryosuke Fukaya

Akira Koyama

Haruhiko Kato

Shinpei Kondo

Akira Kouyama

Tetsuroh Kikuchi

Naohiko Ohkubo

Naoyuki Saka

Yusuke Ikenoue

Hiroki Takeuchi

Atsushi Miyagawa

Yuji Koike

Ayumu Shiomi

Shuntaro Kono

A method includes, by a processor, acquiring number of persons information that indicates a number of users, including users who ride in vehicles, who depart from a facility at each of a predetermined time period, weather information for each predetermined time period, and vehicle information relating to vehicles traveling in a periphery of the facility, determining traffic jam status that indicates absence/presence of a traffic jam on a road located in a vicinity of the facility in the predetermined time period, by using the vehicle information; and generating a learned model for predicting a traffic jam of a road by machine learning using, as teaching data, the number of persons information, the weather information, and the traffic jam status that is associated with the number of persons information and the weather information.

Method for generating learned model, non-transitory storage medium, and traffic jam predicting device

Provided is a nonaqueous electrolyte solution to which lithium tetraborate is added, for a lithium secondary battery, the nonaqueous electrolyte solution being capable of reducing the resistance of a lithium secondary battery. A nonaqueous electrolyte solution for a lithium secondary battery disclosed herein contains lithium tetraborate as a first additive, and a difluorophosphate salt as a second additive.

Nonaqueous electrolyte solution for lithium secondary battery

The present disclosure provides a nonaqueous electrolyte solution that is used in a nonaqueous electrolyte secondary battery. The nonaqueous electrolyte solution contains a fluorinated solvent, a predetermined additive A and a predetermined additive B. A ratio (C/C) of concentration C(mol/L) of the additive A and concentration C(mol/L) of the additive B lies in a range of 1 to 30.

Nonaqueous electrolyte solution and method for producing nonaqueous electrolyte secondary battery

A nonaqueous electrolyte solution used for a nonaqueous electrolyte secondary battery includes a cyclic carbonate and a fluorinated carboxylate ester including two fluorine atoms on an alpha carbon atom derived from a carboxylic acid as a nonaqueous solvent.

Nonaqueous electrolyte solution, nonaqueous electrolyte secondary battery, and method of producing nonaqueous electrolyte secondary battery

The present invention provides an electrolyte solution in which a decrease in capacity retention is suppressed and an increase in gas production is suppressed even when stored at high temperatures. Provided is an electrolyte solution containing: a compound (1) represented by formula (1): CFCFXCOOR, wherein Xis a hydrogen atom, a fluorine atom, or a C1-C3 alkyl group in which hydrogen atoms are optionally replaced by fluorine atoms, and Ris a C1-C3 alkyl group in which hydrogen atoms are optionally replaced by fluorine atoms; a fluorinated carbonate; and a cyclic acid anhydride.

Electrolyte solution, electrochemical device, lithium ion secondary battery, and module

A battery model includes a series connection of a direct current resistance model, a charge transfer resistance model derived from the Butler-Volmer equation, and a diffusion resistance model. A battery state estimating device includes a storage unit and a parameter calculating unit. The storage unit stores information on the resistance parameter related to the resistance component of the diffusion resistance model, the time constant parameter related to the time constant of the diffusion resistance model, and the charge parameter of the charge transfer resistance model, in association with temperature information of the secondary battery. The parameter calculating unit calculates each of the parameters corresponding to the detected temperature value based on a detected temperature value of the secondary battery and the information stored in the storage unit. The parameter calculating unit sequentially identifies parameters used for estimating the state using the Kalman filter and the calculated parameters as initial values.

Battery state estimating device

Provided is an electrolyte solution for a lithium secondary battery, which can lower the resistance of a lithium secondary battery and impart the lithium secondary battery with high cycle characteristics. The electrolyte solution for a lithium secondary battery disclosed here includes an electrolyte salt consisting essentially of a lithium imide salt, a solvent containing methyl difluoroacetate, and an unsaturated carboxylic acid anhydride compound represented by formula (1) below as an additive (in the formula, Rand Reach independently denote a hydrogen atom, a fluorine atom, or an alkyl group that may be fluorine-substituted, or Rand Rbond to each other to form a ring structure). 

Electrolyte solution for lithium secondary battery

Provided is a lithium ion secondary battery with reduced battery resistance, this lithium ion secondary battery using a positive electrode active material with a high potential and a phosphate-based solid electrolyte. The lithium ion secondary battery disclosed herein includes a positive electrode, a negative electrode, and a nonaqueous electrolytic solution. The positive electrode has a positive electrode active material layer including a positive electrode active material having an operation upper limit potential of at least 4.6 V relative to metallic lithium and a phosphate-based solid electrolyte. The nonaqueous electrolytic solution includes a boric acid ester including a fluorine atom.

Lithium ion secondary battery

A battery state estimating apparatus includes an updating unit. The updating unit updates a charge-transfer impedance model in a battery model of a secondary battery, which is a series connection of a DC resistance model, a charge-transfer impedance model, and an diffusion impedance model, using the amount of change in a measurement value of a current flowing through the secondary such that a first relationship between the current flowing through the secondary battery and a voltage across the charge-transfer resistance approaches a second relationship between an actual value of the current and an actual value of the voltage across the charge-transfer resistance. The first relationship between the current flowing through the secondary battery and the voltage across the charge-transfer resistance is defined based on the Butler-Volmer equation. A state estimator estimates a state of the secondary battery based on the battery model including the updated charge-transfer impedance model.

Battery state estimating apparatus

A battery state estimation apparatus estimates a state of a secondary battery based on a battery model thereof. The battery model includes a DC resistance model, a reaction resistance model, and a diffusion resistance model. The apparatus includes a DC information storage section which stores information on the DC resistance related to temperature of the secondary battery, a reaction information storage section which stores information on the reaction resistance parameter related to the temperature, a diffusion information storage section which stores information on each of the first and second parameters related to the temperature, and a state estimation section which calculates the DC resistance, the reaction resistance parameter, and the first and second parameters from the stored information, by using the temperature as input, and estimates the state of the secondary battery based on the DC resistance, reaction resistance parameter, and first and second parameters.

Battery state estimation apparatus

The invention provides a lithium ion secondary battery which exhibits excellent output characteristics and in which decline in the power characteristics is suppressed for a long period of time even after charge-discharge cycling. The lithium ion secondary battery includes a positive electrode, a negative electrode and a nonaqueous electrolyte solution. The positive electrode has a maximum achievable potential of 4.5 V or more versus metallic lithium. The nonaqueous electrolyte solution includes (A) a nonfluorinated cyclic carbonate, (B) a fluorinated cyclic carbonate, and (C) a fluorinated acyclic carbonate. The nonfluorinated cyclic carbonate (A) accounts for more than 10% by volume of (A), (B) and (C) combined.

Nonaqueous electrolyte secondary battery

In an apparatus, a circuit model includes a DC resistance model, and a reaction impedance model having a nonlinear relationship between a first potential difference across a reaction resistance and a current flowing through the secondary battery. The nonlinearly relationship depends on a temperature of the secondary battery. The circuit model includes a diffusion impedance model. The apparatus predicts a future remaining voltage across the secondary battery at a future timing when a predetermined duration will have elapsed since a prediction time. The apparatus calculates a future polarization voltage across the secondary battery at the future timing. The apparatus predicts a target power parameter of the secondary battery at the future timing according to the future remaining voltage, the future polarization voltage, a first potential difference across the reaction resistance, and a second potential difference across the DC resistance model.

Apparatus for predicting power parameter of secondary battery

A secondary battery control unit has a calculating portion identifying a parameter of an equivalent circuit based on an estimation error that is obtained by a comparison between an actual output value of a secondary battery and an equivalent output value of the equivalent circuit. Based on a predetermined amount of an infinitesimal change in the parameter and an evaluation function that is obtained using a result of the comparison, the calculating portion numerically calculates a slope of the evaluation function and renews the parameter based on the slope. As a result, the secondary battery control unit has the calculating portion capable of identifying the parameter of the equivalent circuit while reflecting effects of deterioration of the secondary battery and capable of being integrated to a vehicle-mounted microcomputer.

Secondary battery control unit

Provided is a non-aqueous electrolyte secondary battery combining excellent input/output performance with great durability (cycle characteristics) and an assembly thereof. The present invention provides a non-aqueous electrolyte secondary battery assembly. The positive electrode has a maximum operating voltage of 4.3 V or higher relative to lithium metal, comprising a positive electrode active material and an ion-conductive inorganic phosphate compound. The non-aqueous electrolyte solution comprises a supporting salt, an oxalatoborate-type compound, and a non-aqueous solvent. The non-aqueous solvent is formed of a non-fluorinated solvent. This invention also provides a non-aqueous electrolyte secondary battery obtained by charging the non-aqueous electrolyte secondary battery assembly.

Non-aqueous electrolyte secondary battery and assembly thereof

A non-aqueous secondary battery production method is provided. The method comprises constructing a preconditioning cell that comprises a positive electrode comprising a positive electrode active material, a preconditioning electrolyte solution comprising a supporting salt and a fluorine-containing non-ionic compound, and a preconditioning negative electrode (step S); of carrying out a preconditioning process by charging the preconditioning cell and allowing the fluorine-containing non-ionic compound to be decomposed at the positive electrode to form coatings on surfaces of the positive electrode active material (step S); and of constructing a non-aqueous secondary battery, using the coated positive electrode active material, a non-aqueous electrolyte solution different from the preconditioning electrolyte solution, and a negative electrode comprising a negative electrode active material (step S).

Method for producing a non-aqueous secondary battery

Growing community of inventors

Toyohashi, Japan

Toshiyuki Kawai