Coasting Torque Control System for Electric Vehicles
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Solution Overview
Problem
Electrically powered vehicles face reduced energy recovery efficiency during coasting due to the lack of consideration for road conditions, as the coasting torque does not reflect external factors like road type and traffic congestion.
Innovation Solution
A coasting torque control system that receives external information about road conditions, such as speed information, to select and apply appropriate coasting torque to the drive motor, enhancing energy recovery efficiency by prioritizing road-specific data and using a coasting torque map to match vehicle speed with optimal torque settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If coasting torque is set based on vehicle speed only, then the control system is simple, but energy recovery efficiency deteriorates due to lack of road condition consideration
Solution Approach 1:
The patent introduces external information (road condition data from servers or cloud platforms) as an intermediary to bridge the gap between simple speed-based control and complex adaptive control. This external information acts as a mediator that provides road condition data without requiring complex sensors or processing units within the vehicle itself, thus improving energy recovery efficiency while maintaining relatively simple onboard system architecture
Solution Approach 2:
The system performs preliminary actions by pre-acquiring road condition information from external sources before the vehicle reaches those conditions. The controller receives and stores road condition data (such as traffic congestion levels, road gradients, or weather conditions) in advance, allowing the coasting torque to be optimized based on predicted rather than reactive measurements, thereby improving energy recovery without requiring complex real-time sensing
2Productivity
If multiple sources of speed information are used, then energy recovery efficiency improves, but information processing complexity increases
Solution Approach 1:
The patent transforms the problem of processing multiple complex speed information sources into a parameter selection problem. Instead of processing all available data streams equally, the system changes the parameter of information selection by prioritizing external road condition information over internally calculated speed data. This parameter change approach allows the system to use multiple information sources efficiently by weighting them according to their reliability and relevance to energy recovery optimization
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system improves energy recovery efficiency by setting coasting torque based on real-time road conditions, optimizing power recovery by considering road types and traffic information, even when external information is unavailable.
Implementation Method 1
when coasting due to inertia, the electrically powered vehicle operates the drive motor as a generator so as to retrieve inertia energy
Data Source
AI summary
A coasting torque control method of a vehicle includes: determining whether external information is received; when the external information is received, acquiring one or more pieces of speed information about a road on which the vehicle is currently driving based on the received external information; selecting a coasting torque based on the acquired speed information; and controlling a drive motor coupled to a drive shaft of the vehicle based on the selected coasting torque.