North Carolina State University

Samsung Electronics Co., Ltd.

Total Solar International

Total Sa

Mo-Yuen Chow

Habiballah Rahimi Eichi

Paul Barom Jeon

Taejung Yeo

Wente Zeng

Jinyong Jeon

Daebong Jung

Carlos Carrejo

Bharat Balagopal

Cong Sheng Huang

Alberto Castelo Becerra

An aggregated distribution system includes an HVAC controller, a battery controller, and an aggregated data management engine. The aggregated data management engine is configured to retrieve an HVAC energy usage profile and retrieve a battery energy usage profile. The aggregated distribution system also includes distribution engine configured to forward a first set of HVAC dual variables and forward a first set of battery dual variables to a first neighboring unit of the aggregated distribution system, receive one or more additional sets of HVAC dual variables and one or more additional sets of battery dual variables from one or more neighboring units of the aggregated distribution system, update the HVAC energy usage profile with the one or more additional sets of HVAC dual vehicles and update the battery energy usage profile with the one or more additional sets of battery dual vehicles.

Aggregated distribution for energy demand response

Disclosed are a vehicle control unit (VCU) and an operation method thereof that calculate a speed variation of a vehicle based on input information, predict an average speed of the vehicle based on the calculated speed variation, generate a first speed profile based on the predicted average speed, and generate a second speed profile by applying speed noise information to the first speed profile.

Vehicle control unit (VCU) and operating method thereof

A method and an apparatus for battery modelling. The method includes acquiring battery information from a sensor attached to a battery, the battery information including at least a terminal voltage and a load current; classifying, the battery information as effective data or ineffective data based on a phase of a battery cycle during which the battery information is acquired; identifying one or more parameters of the circuit model associated with the battery based on the effective data; and generating an estimation of a state of the battery using the circuit model having the one or more parameters identified using the effective data. Further, a circuit model is identified using effective data.

Apparatus, circuit model, and method for battery modelling

A method, an apparatus, and a system for determining a state of a battery are provided. The method includes acquiring battery information from a sensor associated with the battery. The battery information includes at least terminal voltage and a terminal current. The method further includes estimating degradation information based on a first principle degradation model and the battery information. The first principle degradation model is a three dimensional model that includes a plurality of layers having one or more attributes representative of physical parameters of the battery. The method further includes identifying a circuit model based on the degradation information and the battery information, determining the state of the battery using the identified circuit model, and implementing a control action or a notification based on the determined state of the battery.

Method and apparatus for identifying a battery model

A method and apparatus for estimating battery life are provided. A method of estimating battery life may involve estimating first status information of a battery based on battery information acquired from the battery, estimating second status information of the battery using a partial cycle model corresponding to a battery degradation pattern for a partial cycle, and calculating the battery life based on a comparison between the first status information and the second status information.

Method and apparatus for estimating battery life

Large-scale, time-sensitive secure distributed control systems and methods are disclosed. According to an aspect, a method includes detecting an anomaly at a module among a plurality of modules in a network. The method also includes adjusting a reputation level of the module associated with the detected anomaly. Further, the method includes controlling interaction of the module associated with the detected anomaly within the network based on the adjusted reputation level.

Large-scale, time-sensitive secure distributed control systems and methods

A method of analyzing data related to a driving range estimation of a vehicle includes collecting attribute data related to the driving range estimation of the vehicle, analyzing a correlation between the attribute data and a driving range of the vehicle, generating a vehicle driving range estimation model based on the analyzed correlation, and analyzing a sensitivity between the vehicle driving range estimation model and the attribute data.

Method and apparatus for analyzing data related to vehicle range estimation

An apparatus for estimating a state of charge (SOC) of a battery in an electric vehicle is provided. The apparatus may include a driving history data storage configured to store driving history data for each category among categories generated based on a frequency of appearance of road data, a driving profile generator configured to categorize road data associated with a driving route for each of the generated categories and generate a driving profile with respect to the driving route based on the driving history data corresponding to the categorized road data, and a battery SOC estimator configured to estimate the SOC of a the battery with respect to the driving route based on the driving profile.

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Raleigh, NC, United States of America

Mo-Yuen Chow