Vehicle Driver Coaching Data Sharing for Energy Efficiency

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Conventional vehicles lack the ability to share driver coaching data, leading to inefficiencies in energy usage, as each vehicle must re-learn driver behavior and analyze operating efficiency independently, which is time-consuming and prevents other vehicles from benefiting from energy-saving opportunities.

Innovation Solution

A system that correlates and shares driver coaching data between vehicles, allowing for the implementation of optimized regenerative braking strategies by comparing estimated and measured operating efficiencies, and providing coaching cues to improve energy efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If each vehicle independently learns driver behavior and analyzes operating efficiency, then each vehicle can operate autonomously, but the time required for learning increases and energy-saving opportunities are lost

Engineering Contradiction:
Improvelearning timeVSAvoiddata sharing system
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The patent merges the learning processes of multiple vehicles by creating a centralized system that aggregates driver coaching data from multiple sources. Instead of each vehicle independently learning driver behavior patterns, the system combines data from multiple vehicles to create a shared knowledge base, significantly reducing the learning time required for individual vehicles while improving overall system efficiency through collaborative learning

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent implements a universal data sharing platform that serves multiple functions: collecting driver coaching data, analyzing operating efficiency, identifying energy-saving opportunities, and distributing optimized strategies across the vehicle fleet. This multi-functional system eliminates the need for separate independent learning processes in each vehicle, addressing both the time loss and complexity trade-off

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Productivity

If driver coaching data is shared across vehicles, then energy-saving strategies can be implemented more quickly, but the system complexity increases

Engineering Contradiction:
Improveenergy-saving implementation speedVSAvoiddata correlation system
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces a centralized server or cloud platform as an intermediary that handles the complex tasks of data collection, correlation, and analysis. This intermediary receives driver coaching data from multiple vehicles, performs the computationally intensive correlation and pattern recognition, and then distributes the optimized energy-saving strategies back to the vehicles. This approach enables rapid implementation of energy-saving strategies while containing system complexity in the centralized intermediary rather than in each individual vehicle

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent creates standardized data structures and communication protocols that allow driver coaching data to be copied and exchanged between vehicles and the centralized system. By establishing uniform data formats and correlation methods, the system enables efficient data sharing and strategy distribution across the fleet without requiring complex custom integration for each vehicle, thus improving productivity while managing system complexity through standardization

Inventive Principle:
Principle #26Copying

Data Source

PatentUS11183082B2Systems and methods for sharing driver coaching data
Publication Date: 2021.11.23 TOYOTA MOTOR ENG & MFG NORTH AMERICA INC
  • US11183082B2 patent drawing
  • US11183082B2 patent drawing
  • US11183082B2 patent drawing

AI summary

Systems and methods of sharing driver coaching data are provided. Driver coaching systems learn the characteristics of a deceleration or acceleration event. Driver coaching data may be determined with the goal of increasing operating efficiency, such as recouping energy while operating a vehicle that can recapture energy. Coaching cues are provided to the driver so that the vehicle can be operated in a way that achieves the goal of increasing recouped energy. Driver coaching data can also be shared. For example, an estimated operating efficiency that is associated with previously operating a first vehicle based on previous coaching data can be compared to a measured operating efficiency associated with currently operation a second vehicle. Based on the comparison, coaching cues may be presented to the drive of the second vehicle without the second vehicle having to perform its own learning process for the driver coaching function.