Hybrid Vehicle Route Segment Energy Optimization
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Solution Overview
Problem
Existing methods for determining the driving state of hybrid vehicles for upcoming routes only provide short-term optimal decisions based on current energy store charge, limiting the overall energy balance optimization, as they do not account for the entire route's energy requirements effectively.
Innovation Solution
A method that divides the upcoming route into segments, determines suitability parameters for each segment based on route information, and assigns driving states (purely electric or internal combustion engine) to optimize energy usage, considering factors like traffic, inclines, and environmental zones, to maintain energy store charge and maximize electric driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If only short-term drive selection is made based on current state of charge, then the decision can be made quickly and simply, but the complete energy balance for the entire route cannot be optimized
Solution Approach 1:
The upcoming route is divided into multiple route segments, and the energy balance is calculated for each segment individually. This allows the system to optimize the complete energy balance for the entire route while maintaining manageable computational complexity by processing segments sequentially rather than treating the entire route as one unit.
Solution Approach 2:
The system calculates the energy balance and determines the optimal driving state for upcoming route segments in advance, before actually traveling them. This preliminary calculation allows the hybrid vehicle to plan its energy usage strategy ahead of time, optimizing the complete energy balance for the entire route rather than making reactive decisions.
2Use of energy by moving object
If the route is divided into multiple segments with detailed analysis, then the energy balance optimization is improved, but the computational complexity and data processing requirements increase
Solution Approach 1:
By dividing the route into segments, the system manages computational complexity through modular processing. Each segment can be analyzed independently with standardized calculations, allowing the system to handle detailed energy balance optimization for the entire route without overwhelming computational requirements.
Solution Approach 2:
The system applies different analysis depths to different route segments based on local characteristics. Route segments are evaluated with detailed energy balance calculations where needed, while maintaining efficiency through standardized processing for segments with similar characteristics, thus optimizing energy balance without uniformly high computational complexity throughout.
3Measurement precision
If more route information is considered for each segment, then the driving state determination becomes more accurate, but the data processing time and computational resources increase
Solution Approach 1:
The system determines driving states for route segments in advance during preliminary route planning, rather than calculating them in real-time during vehicle operation. This allows comprehensive analysis of route information including topography, traffic conditions, and environmental zones without time pressure, achieving high accuracy while completing processing before the journey begins.
Solution Approach 2:
By processing route information segment by segment rather than analyzing the entire route simultaneously, the system reduces the computational burden at any given moment. Each segment can be evaluated with detailed information processing, but the segmented approach allows parallel or sequential processing that reduces overall data processing time compared to comprehensive route-wide analysis.
Data Source
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AI summary
The present invention relates to a method for determining a driving state of a hybrid vehicle for route segments of an upcoming driving route (29), wherein the hybrid vehicle comprises an internal combustion engine (2), an electric machine (3) and an electrical energy storage device (10) for supplying the electric machine (3) with electrical energy, and wherein the method comprises the steps of: obtaining driving route data (21) representing the upcoming driving route (29), wherein the upcoming driving route (29) is divided into several route segments (29a-e) and the driving route data (21) contains route information about the route segments (29a-e);and determining (30) a suitability parameter (PE, PL) for a given driving state of the hybrid vehicle for each route segment (29a-e) on the basis of the route information for the respective route segment (29a-e), wherein the given driving state (I) includes at least one purely electric driving state in which the electric machine (3) drives the hybrid vehicle, and a second driving state (II, III) in which the internal combustion engine (2) drives the hybrid vehicle.;