V2X Stop Control for Adaptive Idle Stop and Regenerative Braking
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Solution Overview
Problem
Existing vehicle deceleration systems, such as idle stop and kinetic energy recovery, cause unnecessary delays, jerks, and wear due to fixed activation mechanisms, failing to adapt to actual driving conditions.
Innovation Solution
An intelligent stop control system that utilizes a vehicle-to-everything (V2X) system to dynamically adjust the operation mode of the power system based on real-time traffic conditions, including idling or kinetic energy recovery, through a processing unit and transceiver module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the idle stop system uses a fixed detection and activation mechanism to shut down the power system when the vehicle stops, then fuel consumption is reduced and emissions are reduced, but frequent intervention causes annoying delays and jerks, and causes unnecessary wear and tear on the power system
Solution Approach 1:
The patent applies dynamics by making the idle stop system adaptive rather than fixed. The control unit dynamically adjusts the activation threshold based on vehicle type, driving conditions, and traffic patterns. For example, the system learns from historical data to determine optimal shutdown timing, avoiding unnecessary frequent interventions while maximizing fuel savings. This dynamic adaptation resolves the contradiction between energy efficiency and user comfort.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring vehicle operation data, driver behavior patterns, and traffic conditions. The control unit uses this feedback to adjust shutdown thresholds and timing, preventing annoying delays and jerks. The feedback loop also tracks power system wear and optimizes shutdown frequency to balance fuel savings with system durability, directly addressing the contradiction between energy efficiency and operational smoothness.
2Use of energy by moving object
If the kinetic energy recovery system operates with strong recovery strength to extend cruising range, then energy efficiency is improved, but it causes noticeable jerk and adds to driver fatigue
Solution Approach 1:
The kinetic energy recovery system applies dynamics by continuously adjusting recovery strength based on real-time conditions. The control unit modulates the motor's regenerative braking force according to vehicle speed, acceleration patterns, and driver input characteristics. This dynamic adjustment ensures strong energy recovery during appropriate conditions while reducing or eliminating jerk during low-speed crawling or light braking, thus resolving the contradiction between energy efficiency and driver comfort.
Solution Approach 2:
The system changes operational parameters by varying the recovery strength threshold and activation conditions based on traffic patterns and driving behavior. The control unit adjusts key parameters such as recovery force magnitude, activation speed thresholds, and engagement timing to optimize the balance between energy recovery effectiveness and ride comfort. This parameter adaptation directly addresses the contradiction between extending cruising range and minimizing driver fatigue.
3Ease of operation
If the kinetic energy recovery system uses low recovery strength to reduce jerk, then driver comfort is improved, but it cannot effectively recover vehicle kinetic energy and increases wear and tear on the brake system
Solution Approach 1:
The system dynamically switches between different recovery strength levels based on real-time driving conditions. During severe braking or high-speed deceleration, the system engages strong recovery mode to maximize energy capture. During mild braking or low-speed conditions, it transitions to gentle recovery mode to maintain comfort. This dynamic multi-level operation resolves the contradiction between driver comfort and effective kinetic energy recovery, allowing the system to optimize both parameters across different operating scenarios.
Solution Approach 2:
The control unit changes operational parameters by adjusting recovery strength thresholds and activation conditions based on traffic patterns and driving behavior. The system modifies key parameters such as recovery force magnitude, speed thresholds for engagement, and braking pressure levels to achieve optimal balance between comfort and energy recovery. This parameter adaptation enables the system to effectively recover kinetic energy during appropriate conditions while maintaining driver comfort during sensitive operating phases.
4Use of energy by moving object
If the idle stop system activates frequently to save fuel, then energy efficiency is improved, but it causes unnecessary wear and tear on the power system and reduces performance of air conditioning and generators
Solution Approach 1:
The idle stop system applies dynamics by making shutdown decisions adaptive rather than fixed. The control unit dynamically evaluates multiple factors including vehicle type, engine characteristics, ambient temperature, air conditioning load requirements, and traffic patterns before activating shutdown. This dynamic decision-making process optimizes fuel savings while preventing excessive wear on the power system and maintaining adequate performance of air conditioning and generators, thus resolving the contradiction between energy efficiency and system reliability.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring power system health indicators, component temperatures, and operational cycles. The control unit uses this feedback to adjust shutdown frequency and timing, preventing excessive wear on the power system. The feedback loop also ensures that air conditioning and generators maintain adequate performance by adjusting shutdown timing based on their operational state and cooling demands, directly addressing the contradiction between fuel savings and system durability.
Data Source
AI summary
An intelligent stop control method, for a vehicle, includes obtaining a traffic status information related to the vehicle through a vehicle-to-everything system when the vehicle is driving; and in response to activation of a brake system of the vehicle, controlling operation of a power system of the vehicle based on the traffic status information.