Hybrid Vehicle Energy Management via Speed Pattern Optimization
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Solution Overview
Problem
Existing vehicle energy management systems for hybrid and plug-in hybrid vehicles fail to minimize fuel consumption effectively, especially when the estimated vehicle speed pattern results in poor power generation efficiency, leading to suboptimal fuel usage despite optimized engine and motor schedules.
Innovation Solution
A vehicle energy management device that includes a vehicle information receiver, route information receiver, and processing circuitry to acquire and analyze vehicle speed and battery state information, route data, and generate optimal plans for motor, engine, and generator operation to minimize fuel consumption by setting target vehicle speed and driving necessity plans, using techniques like genetic algorithms for optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the driving schedule of engine and motor is optimized based on estimated vehicle speed pattern, then fuel consumption can be reduced, but when the estimated pattern produces poor power generation efficiency, fuel consumption cannot be minimized
Solution Approach 1:
The system dynamically adjusts the vehicle speed pattern during operation based on real-time feedback from actual fuel consumption measurements. The driving support device modifies the estimated vehicle speed pattern to actual vehicle speed pattern through dynamic adjustments, allowing the system to adapt to changing conditions and maintain optimal power generation efficiency while minimizing fuel consumption.
Solution Approach 2:
The system implements a feedback mechanism where actual fuel consumption is measured and used to adjust the driving schedule. The driving support device receives actual fuel consumption information, compares it with the estimated consumption based on the initial vehicle speed pattern, and subsequently adjusts the vehicle speed pattern to improve power generation efficiency and further reduce fuel consumption.
2Productivity
If vehicle speed pattern is estimated based on route information and preceding vehicle driving information, then driving schedule can be optimized, but power generation efficiency may be poor
Solution Approach 1:
The system performs preliminary estimation of the vehicle speed pattern based on route information and preceding vehicle driving information before actual operation. This preliminary vehicle speed pattern is used to create an initial driving schedule for the engine and motor, which is then refined through feedback from actual fuel consumption measurements to improve power generation efficiency.
Solution Approach 2:
The system changes the vehicle speed pattern parameters from the estimated values to actual values based on measured fuel consumption. The driving support device adjusts speed parameters, acceleration rates, and other driving characteristics to optimize the balance between meeting driving requirements and maintaining good power generation efficiency.
Data Source
AI summary
A vehicle energy management device has a vehicle information receiver to receive vehicle information including a vehicle speed and a state of charge of a battery, a route information receiver to receive route information to a destination, and a processing circuitry. The processing circuitry is configured to perform: a vehicle information acquisition process of acquiring vehicle information including at least information on a vehicle speed and a state of charge of the battery; a route information acquisition process of acquiring route information to the destination; an optimal plan calculation process of making a target vehicle speed plan for the destination and a driving necessity plan for a motor, an engine, and a generator on the basis of the route information and the vehicle information; and a vehicle control process of controlling the motor, the engine, and the generator on the basis of the driving necessity plan.