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Implementation of algorithm to determine estimated state of charge, travelling time and distance to cover for electrically powered vehicle

机译：确定电动汽车的预计充电状态，行驶时间和行驶距离的算法的实现

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This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2016.

机译：本论文报告的提交部分满足了2016年电气与电子工程学学士学位的要求。

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Saha Aparna; Anjum Murshida; Md. Arefin Dewan Abu; Taif Mir Rayhanuzzaman;
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年度 2016
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原文格式 PDF
正文语种 en
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专利

1. Time-satisfaction of data series based on computer original genetic algorithm gradually covers the location and algorithm of electric vehicle charging station [J] . Yang Runzhao, Cao Qianni Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2019,第5aPta1期

机译：基于计算机原始遗传算法的数据系列的时间满意逐渐覆盖电动车充电站的位置和算法
2. Smarter charging: Power allocation accounting for travel time of electric vehicle drivers [J] . Fridgen Gilbert, Thimmel Markus, Weibelzahl Martin, Transportation Research . 2021,第Auga期

机译：更聪明的充电：电动汽车驾驶员旅行时间的电力分配算法
3. Algorithms for the multi-objective vehicle routing problem with hard time windows and stochastic travel time and service time [J] . Miranda Douglas M., Branke Juergen, Conceicao Samuel V. Applied Soft Computing . 2018,第期

机译：硬时间窗口和随机旅行时间和服务时间的多目标车辆路由问题的算法
4. A Comparison Between Adaptive Neural Networks Algorithms for Estimating Vehicle Travel Time [C] . Yasmin Adel Hanafy, Mohamed Gazya, Maggie Mashaly, International Conference on Computer Engineering and Systems . 2020

机译：用于估计车辆行程时间的自适应神经网络算法的比较
5. Impact of Observed Travel and Charging Behavior, Simulated Workplace Charging Infrastructure, and Vehicle Design on PHEV Utility Factors (UF), Total Charge Depleting (CD) Driving and Time of Day (TOD) Grid Demand: Scenarios Based on Consumers' Use of A Plug-in Hybrid Electric Vehicle (PHEV) Conversion. [D] . Davies-Shawhyde, Jamie. 2011

机译：观察到的旅行和充电行为，模拟的工作场所充电基础设施以及车辆设计对PHEV实用因素（UF），总电量消耗（CD）行驶和一天中的时间（TOD）电网需求的影响：基于消费者使用插头的方案混合动力汽车（PHEV）的转换。
6. Longitudinal spatial dataset on travel times and distances by different travel modes in Helsinki Region [O] . Henrikki Tenkanen, Tuuli Toivonen 2020

机译：赫尔辛基地区不同出行方式的出行时间和距离的纵向空间数据集
7. Introduction of Levenshtein Distance into Evaluation of Vehicle Sequence in Travel Time Measurement Method using Genetic Algorithm [O] . Satoshi TAKAHASHI, Takashi IZUMI 2008

机译：利用遗传算法将Levenshtein距离引入车辆序列评估
8. Vehicle-Miles of Travel Statistics, Lifetime Vehicle-Miles of Travel, and Current State Methods of Estimating Vehicle-Miles of Travel [R] . Greene, D. L., Loebl, A. S. 1979

机译：车辆行驶里程统计数据，终身车辆 - 旅行里程以及估算车辆行驶里程的现行状态方法

Implementation of algorithm to determine estimated state of charge, travelling time and distance to cover for electrically powered vehicle

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