IoT-Based Monitoring and Management of Electric Vehicle Charging Systems for DC Fast Charging Facility

Kumar, Raj; Rajesh, P.K.; Nancy, J. Joys; Abirami, S.; Murthy, K. Vishnu

doi:10.1007/978-3-030-32530-5_10

Cited by 6 publications

(2 citation statements)

References 18 publications

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“…R. Suresh Kumar et al [14] suggested an IoT-based monitoring and management of electric vehicle charging systems for DC fast charging facility. In this system, cloud-based monitoring and management of smart charger stations for electric vehicles (EVs) using security-driven IoT-enabled direct current (DC)…”

Section: Iot-based Intelligent Charging System For Kayoola Evs Buses ...mentioning

confidence: 99%

IoT-Based Intelligent Charging System for Kayoola EVs Buses at Kiira Motors Corporation in Uganda

Ntwali,

Sinde,

Ally

et al. 2024

Preprint

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The increasing popularity of Electric Vehicles (EVs) has led to a surge in the need for charging stations in Kayoola EV buses. Most of existing EV charging stations have outdated features which is challenging to be remotely controlled. However, current EV charging systems experience with no remote battery operational charging status, unsafety control if charging station is faulted, and insecure charging RFID card payment. This paper, an IoT-based system was aimed to manage and monitor these EV charging stations. The battery management system (BMS) sends charging voltage and current information to charger via Controller Area Network (CAN) bus. Then, the Raspberry Pi4 receives and decode CAN charging data to be processed, analyzed and transmits to the cloud server. Each charger is equipped with sensors monitoring parameters like charging status, energy consumption, voltage, current, and time. The user can access that decoded charging information via android mobile application and desk remote management system. Additionally, the system server calculates the battery charging levels and commend RFID card transaction payment. The results show that developed IoT-based intelligent charging system provides and outperforms minimum and maximum cell voltages of 2.82V and 4.1V, min. and max. cell temperatures of 37℃ and 40℃ respectively. The charged energy of 10kWh, used energy of 0kWh, charging state indication, low-cell voltage as error state indication, charging price rate of 500Ugx/kWh, and full-latch of 0, pack voltage of 483.9V, pack current of 100.1A, battery health of 97%, battery state of charge (SoC) of 100% and remaining charging time of 38 mins were also detected and remotely monitored. In conclusion, the developed system proves 100% of real-time and remote data access and accuracy, efficiency, security, accessibility, sustainability, safety charging payment, and remote battery status monitoring system of EV charging infrastructure compared to the current charging where it offers only 58.75% of charging rate.

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Section: Iot-based Intelligent Charging System For Kayoola Evs Buses ...mentioning

confidence: 99%

IoT-Based Intelligent Charging System for Kayoola EVs Buses at Kiira Motors Corporation in Uganda

Ntwali,

Sinde,

Ally

et al. 2024

Preprint

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show abstract

“…The information and reading are sent to the central control system, service provider, user, and data cloud. The cloud data information will be further helpful to improve system performance, charging behavior, battery degradation alert, fault diagnostics, etc., by IoT application [31,32]. Other sensors are linked with control systems wirelessly to monitor and control the power flow of AC and DC buses.…”

Section: Proposed Mega Power Smart Fast-charging Infrastructurementioning

confidence: 99%

Design Analysis of High-Power Level 4 Smart Charging Infrastructure Using Next-Generation Power Devices for EVs and Heavy Duty EVs

Ilahi,

Izhar,

Zahid

et al. 2024

WEVJ

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Trending electric vehicles with different battery technologies need universally compatible and fast chargers. Present semiconductor technology is not suitable for designing high-power-rating converters. The increasing demand for high-capacity electric vehicle chargers requires efficient and optimum advanced material technology. This research presents next-generation material-based smart ultra-fast electric vehicle charging infrastructure for upcoming high-capacity EV batteries. The designed level 4 charger will be helpful for charging future heavy-duty electric vehicles with battery voltages of up to 2000 V. The designed infrastructure will be helpful for charging both EVs and heavy-duty electric trucks with a wide range of power levels. Wireless sensor-based smart systems monitor and control the overall charging infrastructure. The detailed design analysis of the proposed charger using the Simscape physical modeling tool is discussed using mathematical equations.

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Distributed computing based on AI algorithms in battery early warning and SoH prediction of the intelligent connected vehicles

Xiao

Wang

Xiao

et al. 2020

Neural Comput & Applic

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IoT-Based Monitoring and Management of Electric Vehicle Charging Systems for DC Fast Charging Facility

Cited by 6 publications

References 18 publications

IoT-Based Intelligent Charging System for Kayoola EVs Buses at Kiira Motors Corporation in Uganda

IoT-Based Intelligent Charging System for Kayoola EVs Buses at Kiira Motors Corporation in Uganda

Design Analysis of High-Power Level 4 Smart Charging Infrastructure Using Next-Generation Power Devices for EVs and Heavy Duty EVs

Distributed computing based on AI algorithms in battery early warning and SoH prediction of the intelligent connected vehicles

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