EV SOC Control Using Predicted Power Prices During Travel
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Solution Overview
Problem
Existing electric vehicle management systems do not consider market power prices when adjusting electric power consumption, leading to potential financial anxiety for users due to high charging costs during peak power rates.
Innovation Solution
An electric vehicle management device that adjusts state-of-charge (SOC) based on predicted market power prices, using threshold comparisons to reduce financial burden by managing SOC during travel, including processes like SOC reduction and promotion, and controlling temperature and motor generator output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the electric power consumption of the electric vehicle is adjusted based on the electric power supply and demand prediction value without considering market price, then the electric power consumption can be adjusted according to supply and demand, but the charging cost increases when market price is high, causing user financial anxiety
Solution Approach 1:
The system performs preliminary actions by predicting market prices in advance and adjusting SOC before high-price periods occur. The management device calculates prediction values of market prices and proactively adjusts the electric vehicle's SOC to avoid charging during high-cost periods, thereby reducing charging costs while maintaining supply-demand alignment.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring market price information, comparing actual prices with prediction values, and adjusting SOC accordingly. The management device acquires market price information, calculates prediction values, and uses this feedback to dynamically adjust electric power consumption, creating a closed-loop control system that responds to price fluctuations.
2Loss of energy
If the SOC adjustment process uses complicated calculations to optimize charging costs, then the charging cost reduction can be maximized, but the control load on the control unit increases
Solution Approach 1:
The system changes parameters by using simplified comparison operations instead of complex optimization calculations. The management device compares the prediction value of market price with a predetermined threshold price to determine SOC adjustment actions, transforming a complex continuous optimization problem into a simpler discrete decision-making process based on parameter thresholds.
Solution Approach 2:
The system uses inexpensive computational approaches by relying on simple threshold comparisons rather than computationally intensive algorithms. The management device employs a low-cost computational strategy that achieves adequate charging cost optimization through basic arithmetic operations and logical comparisons, reducing the need for expensive high-performance computing resources.
Data Source
AI summary
An electric vehicle management device manages an electric vehicle that is chargeable by an electric power system. The electric vehicle management device performs a state-of-charge (SOC) adjustment process for adjusting the SOC of the traveling electric vehicle based on a prediction value of a market price calculated based on information of a market price of electric power.