EV Charging Reservation Control With Dynamic Power Throttling
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Solution Overview
Problem
Current electric vehicle charging systems face inefficiencies due to low interoperability between different charging networks, unpredictable availability of charging stations, and poor utilization of Electric Vehicle Service Equipment (EVSEs, leading to long wait times and inefficient resource allocation.
Innovation Solution
A method and system for managing and scheduling electric vehicle charging sessions, including reserved and ad-hoc charging, load management, and power distribution, which utilizes a centralized reservation system to optimize EVSE usage, integrate with EVSEs via protocols like OCPP, and implement dynamic power throttling and prioritization based on demand and vehicle state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a centralized reservation system is implemented to optimize EVSE usage, then EVSE utilization is improved, but system complexity increases
Solution Approach 1:
The patent introduces a centralized reservation system that acts as an intermediary between electric vehicles and charging networks. This system receives reservation requests, manages charging session scheduling, and coordinates power distribution across multiple EVSEs. By centralizing control functions in a dedicated management system rather than distributing complexity across individual components, the patent achieves improved EVSE utilization through optimized scheduling while containing system complexity within a specialized management layer.
2Productivity
If dynamic power throttling is implemented based on demand and vehicle state, then charging efficiency is improved, but control complexity increases
Solution Approach 1:
The patent implements dynamic power throttling that adjusts charging parameters in real-time based on vehicle state, grid conditions, and reservation priorities. The system continuously monitors battery charge levels, vehicle requirements, and available capacity at EVSEs, then dynamically modifies power delivery parameters during charging sessions. This dynamic adaptation enables optimized charging efficiency by matching power delivery to actual needs while the centralized management system handles the control complexity through automated decision-making algorithms.
3Reliability
If reservation scheduling is implemented to ensure predictable charging sessions, then reliability is improved, but wait time for ad-hoc charging increases
Solution Approach 1:
The patent implements a reservation scheduling system that allows users to pre-book charging sessions in advance. By accepting and processing reservation requests before the actual charging events, the system ensures predictable charging sessions with guaranteed time slots and power allocation. The centralized management system maintains a calendar of reserved sessions and automatically allocates EVSE capacity, providing reliability for scheduled charging while managing ad-hoc requests by fitting them into available gaps in the reservation schedule.
4Adaptability or versatility
If integration with multiple charging networks is implemented to improve interoperability, then adaptability is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal centralized reservation system that interfaces with multiple different charging networks through standardized communication protocols. The system performs multiple functions including receiving reservations, managing charging sessions, distributing power, and handling billing across diverse charging infrastructures. By designing the management system with multi-functional capabilities that can accommodate various network protocols and EVSE types, the patent achieves broad interoperability while containing integration complexity within the adaptable management layer rather than requiring complex modifications at each interface point.
Data Source
AI summary
Embodiments of a methods and systems for charging one or more electric vehicles are described. A method can include: determining a collective power output aggregated from individual power outputs of each of the set of EVSEs; determining an adjusted power output of an EVSE unit of the set of EVSEs based upon the collective power output and an output constraint; and executing instructions for delivering the adjusted power output through the EVSE unit, for charging a vehicle of the set of vehicles. The set of vehicles can include fleet vehicles, and output constraints can be based upon demand response events.