scholarly journals Master-Slave Control Scheme in Electric Vehicle Smart Charging Infrastructure

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Ching-Yen Chung ◽  
Joshua Chynoweth ◽  
Chi-Cheng Chu ◽  
Rajit Gadh
Keyword(s):  
Electric Vehicle ◽  
Management System ◽  
Charging Infrastructure ◽  
Vehicle Monitoring ◽  
Control Scheme ◽  
Smart Charging ◽  
Level 1 ◽  
Control And Management ◽  
Level 2

WINSmartEV is a software based plug-in electric vehicle (PEV) monitoring, control, and management system. It not only incorporates intelligence at every level so that charge scheduling can avoid grid bottlenecks, but it also multiplies the number of PEVs that can be plugged into a single circuit. This paper proposes, designs, and executes many upgrades to WINSmartEV. These upgrades include new hardware that makes the level 1 and level 2 chargers faster, more robust, and more scalable. It includes algorithms that provide a more optimal charge scheduling for the level 2 (EVSE) and an enhanced vehicle monitoring/identification module (VMM) system that can automatically identify PEVs and authorize charging.

Research and Design of Electric Vehicle Operation Management System

2012 ◽  
Vol 253-255 ◽  
pp. 2237-2241
Author(s):  
Chang Liu ◽  
Bin Li ◽  
Qi Chu Chen ◽  
Jing Yi Lin
Keyword(s):  
Electric Vehicle ◽  
Operations Management ◽  
Management System ◽  
Operation Management ◽  
Service Network ◽  
Vehicle Operation ◽  
Smart Charging ◽  
Business Functions ◽  
Research And Design ◽  
Logical Architecture

Obtained requirements by analysis of the business functions of the electric vehicle operations management to form four types of applications, and then design the physical architecture and logical architecture of electric vehicle operations management system(EVOMS), adopted the three level management system, fully construct operation monitoring system of support electric vehicle smart charging and battery swapping service network.

Assessment of Level 1 and Level 2 Electric Vehicle Charging Efficiency

2014 ◽  
Vol 2454 (1) ◽  
pp. 92-96 ◽  
Author(s):  
Justine Sears ◽  
Evan Forward ◽  
Eric Mallia ◽  
David Roberts ◽  
Karen Glitman
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicle Charging ◽  
Level 1 ◽  
Vehicle Charging ◽  
Level 2 ◽  
Charging Efficiency

scholarly journals Perancangan Dokumentasi Sistem Manajemen pada Laboratorium Mekatronika UNS Berdasarkan SNI ISO/IEC 17025 : 2008

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Aditha Capryani ◽  
Fakhrina Fahma ◽  
Adrian Nur
Keyword(s):  
Business Process ◽  
Management System ◽  
Process Identification ◽  
Laboratory Design ◽  
Quality Guidelines ◽  
Level 3 ◽  
Level 1 ◽  
Identification Analysis ◽  
Requirements Identification ◽  
Level 2

<span class="fontstyle0">This research designed of documentation management system laboratory for Mechatronics Laboratory based on SNI ISO/IEC 17025:2008 refers to documentation management system laboratory in UPT Integrated Laboratory. Mechatronics laboratory is expanding the scope of the UPT Integrated Laboratory. Design of documentation management system laboratory required to obtain accreditation from KAN. Documents were designed consisting of level 1 Quality Guidelines, level 2 Procedures, level 3 Work Instrictions, and level 4 Forms. Design of the documents were done with five stages document requirements identification, business process identification, analysis the availability of the necessary documents, designing documents, and documents verification. From the stages, are known that 10 documents level 1 need adjustments, 2 documents level 3 and 11 documents level 4 need to be designed. On documents verification, it is known that there are documents that requires improvements in the format and content. If Mechatronics Laboratory develop, then required adjustments to the documents</span>

scholarly journals Implementation of OCPP Protocol for Electric Vehicle Applications

2019 ◽  
Vol 87 ◽  
pp. 01008
Author(s):  
Thota Venkata Pruthvi ◽  
Niladri Dutta ◽  
Phaneendra Babu Bobba ◽  
B Sai Vasudeva
Keyword(s):  
Electric Vehicle ◽  
Charging Infrastructure ◽  
Base Level ◽  
Industry Standards ◽  
Smart Charging ◽  
Electrical Vehicle ◽  
Key Factor ◽  
Software And Hardware ◽  
Charging Stations ◽  
Charge Point

The ability of the software and hardware systems to interchange information is a key factor for the success of the electric vehicle industry. Standards have been developed and are in use to ensure base level interoperability of the front-end communication and signaling processes for smart charging between electric vehicles and charge stations. The Open Charge Alliance (OCA), a group of European industries, have developed an open source common back-end protocol, called Open Charge Point Protocol (OCPP), for charging stations to reduce and secure overall investment costs. OCPP intends to enable grid services based on smart charging. In this paper the authors provide a review of the functionalities OCPP offers and how it can be used in the electrical vehicle-charging infrastructure.

scholarly journals Mesh Network for RFID and Electric Vehicle Monitoring in Smart Charging Infrastructure

2014 ◽  
Vol 10 (2) ◽  
pp. 114 ◽  
Author(s):  
Ching-Yen Chung ◽  
Aleksey Shepelev ◽  
Charlie Qiu ◽  
Chi-Cheng Chu ◽  
Rajit Gadh
Keyword(s):  
Current Approach ◽  
Mesh Network ◽  
Dynamic Monitoring ◽  
Distribution Grid ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Vehicle Monitoring ◽  
Remote Sensors ◽  
Smart Charging ◽  
Charging Stations

With an increased number of plug-in electric vehicles (PEVs) on the roads, PEV charging infrastructure is gaining an ever-more important role in simultaneously meeting the needs of drivers and those of the local distribution grid. However, the current approach to charging is not well suited to scaling with the PEV market. If PEV adoption continues, charging infrastructure will have to overcome its current shortcomings such as unresponsiveness to grid constraints, low degree of autonomy, and high cost, in order to provide a seamless and configurable interface from the vehicle to the power grid. Among the tasks a charging station will have to accomplish will be PEV identification, charging authorization, dynamic monitoring, and charge control. These will have to be done with a minimum of involvement at a maximum of convenience for a user. The system proposed in this work allows charging stations to become more responsive to grid constraints and gain a degree of networked autonomy by automatically identifying and authorizing vehicles, along with monitoring and controlling all charging activities via an RFID mesh network consisting of charging stations and in-vehicle devices. The proposed system uses a ZigBee mesh network of in-vehicle monitoring devices which simultaneously serve as active RFID tags and remote sensors. The system outlined lays the groundwork for intelligent charge-scheduling by providing access to vehicle’s State of Charge (SOC) data as well as vehicle/driver IDs, allowing a custom charging schedule to be generated for a particular driver and PEV. The approach presented would allow PEV charging to be conducted effectively while observing grid constraints and meeting the needs of PEV drivers.

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