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公开(公告)号：KR101396499B1
公开(公告)日：2014-05-23
申请号：KR1020120138450
申请日：2012-11-30
Applicant: 제주대학교 산학협력단 , (주)진우소프트이노베이션
Abstract: Disclosed are a method and an apparatus to manage a dual battery for renewable energy integration in an electric vehicle charging system. A method of scheduling a charging task in the electric vehicle charging system comprises the steps of: generating at least one charging task of at least one electric vehicle; generating an allocation table containing a charging schedule of at least one electric vehicle using a dielectric algorithm based on at least one charging task; and determining at least one dual battery charging load to charge the dual battery containing a first battery and a second battery based on the allocation table by setting the dual battery as a power source.
Abstract translation: 公开了一种在电动车辆充电系统中管理用于可再生能源集成的双电池的方法和装置。 一种在电动车辆充电系统中调度充电任务的方法包括以下步骤：产生至少一个电动车辆的至少一个充电任务; 使用基于至少一个计费任务的介质算法生成包含至少一个电动车辆的收费计划的分配表; 以及通过将所述双电池设置为电源，基于所述分配表确定至少一个双电池充电负载以对包含第一电池和第二电池的所述双电池充电。
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公开(公告)号：KR1020140017278A
公开(公告)日：2014-02-11
申请号：KR1020120084032
申请日：2012-07-31
Applicant: 제주대학교 산학협력단
CPC classification number: Y02T10/7005 , Y02T10/7088 , G06Q50/30 , B60L11/18 , G06Q50/06 , H02J2007/0001
Abstract: Provided are a method and a system for scheduling the charging task of an electric vehicle by using a genetic algorithm and initial population selection heuristics. The charging task scheduling method for an electric vehicle includes the following steps of: modeling at least one charging task about each of at least one electric vehicle; selecting multiple initial populations about a charging schedule of at least one charging task; and extracting an optimal population as the charging schedule by selecting and crossing the multiple initial populations by using the genetic algorithm. [Reference numerals] (210) Model a charging task; (220) Select initial popolations; (230) Extract a charging schedule by using a genetic algorithm; (AA) Start; (BB) End
Abstract translation: 提供了一种通过使用遗传算法和初始群体选择启发式来调度电动车辆的充电任务的方法和系统。 一种电动车辆的充电任务调度方法包括以下步骤：对至少一个电动车辆中的每一个建模至少一个充电任务; 选择关于至少一个计费任务的收费计划的多个初始人群; 并通过使用遗传算法选择和交叉多个初始群体，提取最优群体作为收费时间表。 （附图标记）（210）对充电任务进行建模; （220）选择初始popolations; （230）使用遗传算法提取收费计划; （AA）开始; （BB）结束
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3.发明授权
公开(公告)号：KR101449801B1
公开(公告)日：2014-10-28
申请号：KR1020120084032
申请日：2012-07-31
Applicant: 제주대학교 산학협력단
CPC classification number: Y02T10/7005 , Y02T10/7088
Abstract: 유전자 알고리즘과 초기 해 선택 휴리스틱을 이용한 전기 자동차의 충전 태스크 스케쥴링 방법 및 시스템이 제공된다. 전기 자동차의 충전 태스크 스케쥴링 방법은 적어도 하나의 전기 자동차 각각에 대한 적어도 하나의 충전 태스크를 모델링하는 단계, 적어도 하나의 충전 태스크의 충전 스케쥴에 대한 복수의 초기 해들을 선택하는 단계, 유전자 알고리즘을 이용하여 상기 복수의 초기 해들을 선택 및 교배함으로써 최적의 해를 충전 스케쥴로서 추출하는 단계를 포함한다.
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公开(公告)号：KR101401787B1
公开(公告)日：2014-06-30
申请号：KR1020130036726
申请日：2013-04-04
Applicant: 제주대학교 산학협력단
CPC classification number: G01C21/3446 , G01C21/30 , G01C21/3453 , G06N3/126 , G08G1/096838 , G08G1/0969 , Y02T90/161
Abstract: Disclosed are a route recommending service method and a device for an electric vehicle based on a hybrid orienteering model. The route recommending service method for the electric vehicle includes a step of generating multiple chromosomes corresponding to multiple visitation schedules including multiple visitation spots -the visitation spots including at least one selection spot and at least one recommendation spot- by using an encoding scheme based on at least the selection spot and the recommendation spot; a step of extracting an initial population based on the chromosomes; and a step of extracting an optimized visitation schedule by mating and selecting the chromosomes including the initial population by using genetic algorithm based on the fitness of the chromosomes included in the initial population.
Abstract translation: 公开了一种基于混合定向运动模型的路线推荐服务方法和电动车辆装置。 电动车辆的推荐路线的推荐方法包括：通过使用基于at的编码方案，生成对应于包括多个访问点的多个访问时间表的多个染色体的步骤 - 包括至少一个选择点和至少一个推荐点的访问点 至少选择地点和推荐地点; 基于染色体提取初始种群的步骤; 以及通过使用基于初始群体中包含的染色体的适应度的遗传算法来交配和选择包括初始种群的染色体来提取优化的访问进度的步骤。
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