Mobile Power Supply Dispatch for EV Traffic Jam Charging
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Solution Overview
Problem
Battery electric vehicles (BEVs) face the risk of power depletion when caught in unexpected traffic congestion or adverse weather conditions, limiting their cruising range and necessitating frequent charging planning, which can lead to power shortages and difficulty in reaching charging stations.
Innovation Solution
A power supply support device that utilizes traffic congestion prediction information to strategically distribute power supply vehicles equipped with external power supply capabilities to charge BEVs before they enter congested areas, reducing the likelihood of power loss by anticipating and pre-emptively supplying power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If battery electric vehicles rely on fixed charging stations, then charging infrastructure is stable, but vehicles cannot be charged when caught in traffic congestion beyond cruising range
Solution Approach 1:
The system performs preliminary actions by predicting traffic congestion before it occurs and proactively dispatching power supply vehicles to areas where vehicles may soon be stuck. This advance preparation ensures that when traffic congestion actually happens, power supply vehicles are already positioned and ready to charge BEVs, preventing power depletion without requiring BEVs to reach fixed charging stations.
Solution Approach 2:
The power supply vehicle acts as an intermediary mobile charging unit between the fixed charging infrastructure and the BEVs trapped in traffic. Instead of requiring BEVs to reach fixed stations, the power supply vehicle moves to the BEVs' location and provides charging services directly, bridging the gap between stationary infrastructure and mobile vehicles in congested areas.
2Ease of operation
If BEVs travel without pre-planning charging stops, then cruising flexibility increases, but risk of power depletion in unexpected congestion increases
Solution Approach 1:
The system implements feedback by continuously monitoring traffic conditions, predicting future congestion, and using this information to dynamically dispatch power supply vehicles. The system receives traffic information, analyzes it to predict where congestion will occur, and responds by positioning power supply vehicles accordingly, creating a closed-loop system that adapts to changing conditions and ensures power availability.
Solution Approach 2:
The system performs preliminary dispatch actions based on predicted traffic patterns before congestion actually impacts vehicles. By analyzing traffic data and predicting future congestion hotspots, the system proactively positions power supply vehicles in advance, so when BEVs encounter unexpected congestion, charging infrastructure is already available without requiring pre-planned charging stops.
3Adaptability or versatility
If more fixed charging stations are built, then charging coverage increases, but system complexity and cost increase
Solution Approach 1:
The system transitions from static fixed charging stations to a dynamic mobile power supply vehicle fleet that can adapt its position and distribution based on real-time traffic conditions and predicted congestion patterns. This dynamic approach allows the same infrastructure resources to serve multiple locations sequentially, providing flexible charging coverage without the need to build and maintain numerous fixed stations across all potential congestion areas.
Data Source
AI summary
A power supply support device includes a control unit that acquires traffic jam prediction information predicting a traffic jam of a vehicle generated for each road, and determines, based on the acquired traffic jam prediction information, a distribution vehicle of a power supply vehicle that supplies power to a general vehicle having an external power supply function.