Hybrid Navigation System Efficiency Route Optimization
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Solution Overview
Problem
Current navigation systems for hybrid motor vehicles do not adequately account for the unique characteristics of individual vehicles or the dynamic state of the hybrid drive train when determining optimal routes, particularly in terms of efficiency and electric driving, leading to suboptimal energy usage and emissions.
Innovation Solution
The method involves providing real-time feedback from the drive control unit to the navigation system, using a communication channel, to consider the current state and properties of the hybrid drive train, allowing for improved route calculation that maximizes electric driving by incorporating efficiency parameters related to battery charging and consumption, enabling dynamic adjustments based on changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a standard navigation system uses a generic vehicle model for route calculation, then the system is simple and easy to operate, but it cannot account for individual vehicle characteristics or dynamic state changes, leading to suboptimal efficiency routes
Solution Approach 1:
The system pre-determines efficiency routes by calculating optimal paths before the vehicle operates, using predicted operating states and battery charge forecasts. This preliminary calculation allows the navigation system to plan efficient routes in advance while accounting for vehicle-specific characteristics, resolving the contradiction between route accuracy and system complexity by performing computations before real-time operation begins
Solution Approach 2:
The drive control unit provides feedback about the actual operating state of the hybrid drive train to the navigation system. This feedback loop enables the navigation system to adjust and recalculate efficiency routes based on real vehicle characteristics and dynamic state changes, improving route optimization accuracy while managing complexity through structured information exchange
2Productivity
If the navigation system does not consider the current state of the hybrid drive train, then the calculation is faster and simpler, but the electric driving proportion cannot be maximized and battery charging opportunities are missed
Solution Approach 1:
The system performs preliminary calculations of predicted operating states and battery charge levels at different points along potential routes. By forecasting these states in advance, the navigation system can identify optimal charging opportunities and maximize electric driving proportion without losing critical vehicle state information, as the information is predicted and prepared before real-time operation
Solution Approach 2:
The drive control unit itself generates and provides the necessary operating state information to the navigation system through integrated feedback mechanisms. This self-service approach ensures that accurate vehicle state information is available for route optimization without requiring external data sources, thereby maximizing electric driving proportion while preventing information loss
3Adaptability or versatility
If efficiency routes are calculated without real-time feedback from the drive control unit, then the navigation system operates independently, but the routes cannot be dynamically adjusted to changing vehicle conditions
Solution Approach 1:
A structured feedback mechanism is implemented where the drive control unit communicates actual operating state information to the navigation system. This feedback enables the navigation system to dynamically adjust efficiency routes in response to changing vehicle conditions, achieving high route adaptability while managing communication complexity through standardized data exchange protocols
Solution Approach 2:
The feedback communication channel serves multiple functions: it provides operating state data for route calculation, enables dynamic route adjustments, and supports various optimization criteria. This multi-functionality allows the system to achieve high adaptability without proportionally increasing complexity, as a single communication infrastructure supports multiple operational requirements
Data Source
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AI summary
The invention relates to a method for operating a navigation system (25) of a hybrid motor vehicle (16) comprising a combustion engine (19) and an electric motor (18) which is powered by the associated battery (21), an efficient route (7, 12) enabling the electric motor (18) to be used to its maximum capacity is determined by the navigation system (25), said efficient route (7, 12) being determined by providing at least one dynamic of a drive control device (23) of the vehicle (16) from which the current operating state and/or a current operating prediction dependent on the efficiency information is taken into account.