EV Energy Usage Planning for Load and Elevation Changes
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Solution Overview
Problem
The scarcity of public charging stations poses challenges for commercial electric vehicles that require frequent recharging, leading to lost productivity and inefficiencies in energy management, as existing infrastructure is not adequately utilized or expanded to meet the growing demand.
Innovation Solution
An energy distribution network with an energy management server dynamically adjusts energy usage plans for electric vehicles and charging stations based on changing conditions, such as cargo loads, traffic, and weather, by recalculating optimal energy usage and reconfiguring charging schedules to ensure efficient energy distribution and utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If public charging stations are deployed to meet growing demand, then charging infrastructure availability improves, but deployment speed lags behind electric vehicle sales growth
Solution Approach 1:
The system dynamically adjusts energy usage plans and charging schedules in real-time based on changing conditions such as cargo loads, traffic, and weather. The energy management server continuously monitors and recalculates optimal energy distribution, allowing the charging infrastructure to adapt flexibly to varying demands without requiring constant physical expansion of charging stations.
Solution Approach 2:
The system changes operational parameters including energy usage plans, charging schedules, and route optimizations based on real-time conditions. By adjusting these parameters, the system maximizes the utilization of existing charging infrastructure, effectively increasing its capacity and availability without physical expansion.
2Productivity
If commercial electric vehicles require frequent recharging, then productivity is maintained, but lost productivity occurs while searching for and driving to available charging stations
Solution Approach 1:
The energy management server receives real-time data from electric vehicles about their energy levels, route requirements, and operational status. Based on this feedback, the system dynamically adjusts energy usage plans and provides optimized routing information, enabling vehicles to locate and utilize charging stations efficiently without unnecessary searching or detours.
Solution Approach 2:
The system pre-calculates optimal energy usage plans and charging schedules based on anticipated routes, cargo loads, and traffic conditions. By preparing these plans in advance, the system enables electric vehicles to efficiently manage their charging needs during operations, minimizing time spent searching for charging stations and maximizing productivity.
3Adaptability or versatility
If existing charging infrastructure is not adequately utilized, then infrastructure expansion is delayed, but utilization efficiency remains suboptimal
Solution Approach 1:
The system dynamically optimizes energy distribution across the charging network by continuously adjusting energy usage plans based on real-time conditions. The energy management server monitors charging station status, vehicle requirements, and environmental factors to allocate energy efficiently, maximizing the utilization of existing infrastructure and minimizing energy loss through optimized routing and scheduling.
Data Source
AI summary
An energy distribution network may include an energy management server connected to a communication network. One or more electric vehicles may communicate with the server via the network. The system may include charging stations positioned along travel routes of the vehicles. The energy management server may generate and transmit a first energy usage plan to the vehicles. The vehicles may communicate vehicle data information to the server. The vehicle data information may include actual energy usage data and detected changes in load and elevation that may impact energy usage. Based on the received vehicle data, the server may then generate and transmit a second or subsequent energy usage plan to the vehicles. Other examples and embodiments may be described and claimed.