EV Charging Infrastructure Preconditioning for Traffic Surge Demand
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Solution Overview
Problem
High-demand events such as traffic congestion can overwhelm electric vehicle (EV) charging and refueling infrastructure, leading to increased cognitive load for drivers and potential infrastructure overload, with existing systems failing to adequately manage and optimize charging capacity and power distribution.
Innovation Solution
A cloud-based policy administration system that predicts traffic events, estimates charging demand, and deploys mitigating policies to EVs and charging infrastructure, including preparing charging equipment, cooling systems, and stationary storage batteries, to optimize EV operations and infrastructure throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If charging infrastructure operates without predictive management during high-demand events, then infrastructure capacity is underutilized, but charging demand cannot be met leading to driver frustration and congestion
Solution Approach 1:
The system performs preliminary actions by predicting upcoming traffic events and proactively preparing charging infrastructure before high-demand periods arrive. This includes pre-positioning battery packs at swap stations, pre-cooling charging equipment, and pre-charging stationary storage batteries to mitigate power-demand spikes, thereby ensuring charging availability is maintained while maximizing throughput during actual demand events
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring traffic patterns, charging demand, and infrastructure status to dynamically adjust charging station operations. This real-time feedback enables the system to optimize power distribution, manage battery inventory, and coordinate with vehicles to maintain both high productivity and reliable service during varying demand conditions
2Power
If charging equipment is prepared for high demand without thermal management, then charging capacity is increased, but equipment overheating occurs reducing reliability
Solution Approach 1:
The system applies preliminary action by pre-cooling charging equipment before anticipated high-demand periods. This proactive thermal management ensures that charging stations can operate at maximum power capacity during peak demand without overheating, thereby maintaining both high power output and equipment reliability throughout the charging event
3Reliability
If stationary storage batteries are charged in advance, then power-demand spikes are mitigated, but grid energy consumption increases
Solution Approach 1:
The system uses feedback mechanisms to intelligently manage stationary storage battery charging by monitoring grid conditions, demand patterns, and battery status. This enables optimized charging schedules that balance power supply stability with energy efficiency, charging batteries when grid energy is abundant or inexpensive while reducing consumption during peak grid demand periods
4Speed
If EVs thermally precondition batteries, then charging speed increases, but vehicle energy consumption increases
Solution Approach 1:
The system implements feedback by monitoring vehicle battery status, thermal conditions, and charging queue position to dynamically adjust preconditioning strategies. This enables the vehicle to thermally prepare the battery only when and to the extent necessary for upcoming charging events, optimizing charging speed while minimizing unnecessary energy consumption during vehicle operation
Data Source
AI summary
A system for managing electric vehicles and charging infrastructure in high-demand conditions. An example system includes a cloud-based policy administration component configured to identify the impacted area, estimate the charging demand in that area during the traffic event, and deploy mitigating policies to electric vehicles and charging stations in the area. Example responsive actions corresponding to the mitigating policies deployed to the charging stations include preparing the charging and cooling equipment to meet the estimated charging demand, charging stationary storage batteries for mitigating estimated power-demand spikes corresponding to the estimated charging demand, and charging an inventory of swappable battery packs to meet estimated battery-swap demand corresponding to the estimated charging demand. Example responsive actions corresponding to the mitigating policies deployed to individual electric vehicles enable optimal matching of the vehicles to the charging stations.