Abstract
A combustion-engine vehicle can be refueled quickly but is not very impressive. Electric vehicle (EV) operation differs significantly from conventional vehicles. Car and charging station manufacturers must manage and optimize the battery charging process. Charging operation is more complex than it appears, especially with the switch to alternative energy sources and the upcoming smart grid. Factors like station power, battery health, and charging demand should be considered. Intelligent charging in accordance with ISO 15118 will become standard. Key challenges include communication between vehicles and charging stations and the distribution of electrical energy. This paper presents EV-EVSE (Electric Vehicle Supply Equipment) communication and analyzes various factors. The study describes a system architecture enabling real-time communication between EV, EVSE, and the Charging Station Management System. Vector CANoe provides tools for creating, evaluating, and assessing ECU networks and units. The VT System with Smart Charging Module VT7970 controls ECU I/O connections during testing. This article introduces a Combined Charging System utilizing Vector tools, with EV-EVSE message exchange via ISO 15118 over Power-Line Communication, and analyzes their communication. The EV-EVSE simulation results are displayed visually and synchronized with the trace window, achieved when hardware and software are combined in a suitable loop.
| Original language | English |
|---|---|
| Title of host publication | Smart Manufacturing with AIoT |
| Subtitle of host publication | Signal Processing, Computer Vision, and Data Analytics |
| Publisher | CRC Press |
| Pages | 110-123 |
| Number of pages | 14 |
| ISBN (Electronic) | 9781040524947 |
| ISBN (Print) | 9781032827896 |
| DOIs | |
| Publication status | Published - 01-01-2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- General Arts and Humanities
- General Engineering
- General Energy
- General Computer Science
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