Tollgate-Aware Inertia Driving Control for Electrified Vehicles
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Solution Overview
Problem
Existing methods for controlling inertia driving in electrified vehicles do not effectively adjust vehicle speed based on the type of tollgate, leading to inefficient fuel usage.
Innovation Solution
A method that uses a controller to determine a target speed for inertia driving of an electrified vehicle based on the type of tollgate encountered, such as general, non-stop, wide, open, or closed tollgates, and adjusts the drive motor accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the vehicle maintains constant speed through tollgates, then travel time is reduced, but fuel efficiency deteriorates due to unnecessary acceleration and deceleration cycles
Solution Approach 1:
The controller identifies tollgate locations in advance using navigation information and pre-calculates optimal speed adjustment strategies. The system determines deceleration zones before the vehicle reaches them, allowing smooth speed reduction without sudden braking, thereby recovering kinetic energy through regenerative braking and improving fuel efficiency while still maintaining timely passage through tollgates
Solution Approach 2:
The system dynamically adjusts the vehicle's speed profile based on real-time conditions including distance to tollgate, current speed, and traffic conditions. Rather than maintaining a fixed speed, the controller continuously optimizes speed commands to balance travel time and energy consumption, using inertia driving to coast through deceleration zones when appropriate
2Use of energy by moving object
If the vehicle decelerates early to prepare for tollgate, then fuel efficiency improves through inertia driving, but travel time increases due to extended deceleration period
Solution Approach 1:
The controller calculates optimal deceleration timing in advance based on the distance to the tollgate and current vehicle speed. By determining the precise point where deceleration should begin, the system maximizes inertia driving distance while ensuring the vehicle reaches the tollgate at the appropriate speed, thus improving fuel efficiency without excessive travel time penalty
Solution Approach 2:
The system adjusts multiple parameters including deceleration rate, target speed, and timing based on real-time vehicle state and environmental conditions. The controller dynamically modifies these parameters to optimize the balance between fuel efficiency and travel time, adapting the deceleration strategy to each specific situation rather than using a fixed approach
3Loss of energy
If the vehicle uses regenerative braking at tollgate, then energy is recovered, but braking distance increases due to reduced deceleration force
Solution Approach 1:
The deceleration process is divided into multiple phases: initial deceleration using conventional braking, transition to regenerative braking for energy recovery, and final speed maintenance through inertia driving. This segmentation allows the system to optimize each phase independently, recovering maximum energy while maintaining safe and efficient stopping distance
Solution Approach 2:
The controller periodically switches between conventional braking and regenerative braking modes based on vehicle speed, battery charge state, and distance to tollgate. This periodic action optimizes energy recovery by engaging regenerative braking at speeds where it is most effective while using conventional braking when immediate deceleration is required, thus balancing energy recovery with braking distance constraints
Data Source
AI summary
A method of controlling inertia driving of an electrified vehicle includes: determining, by a controller, a target speed of an electrified vehicle based on a type of tollgate in front of the electrified vehicle; and controlling, by the controller, a drive motor of the electrified vehicle so that the electrified vehicle performs inertia driving to be decelerated to the target speed.