Vehicle Computing Resource Allocation for Driving and Energy Management

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Solution Overview

Problem

Conventional autonomous vehicles lack efficient energy management functions, limiting the processing capability of battery management systems (BMS) to handle advanced energy management calculations, which are crucial for optimizing energy efficiency and reducing greenhouse gas emissions.

Innovation Solution

An autonomous driving platform with at least one processor efficiently allocates calculation resources between driving control and energy management functions based on driving information, prioritizing tasks as needed to enhance overall energy efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the BMS processes advanced energy management calculations, then energy management capability is improved, but the processing capability of the BMS reaches its limits

Engineering Contradiction:

Improveenergy management capabilityVSAvoidprocessing capability limit

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the energy management calculation tasks from the BMS and transfers them to the autonomous driving platform's processor. The BMS retains only essential battery monitoring functions, while complex energy management calculations are performed by the platform's computing resources, thus overcoming the BMS processing capability limit while maintaining enhanced energy management capability.

Inventive Principle:

Principle #1Segmentation

2Use of energy by moving object

If calculation resources are allocated to energy management, then energy efficiency is improved, but driving control processing may be affected

Engineering Contradiction:

Improveenergy efficiencyVSAvoiddriving control processing

Core Design Contradiction:

Use of energy by moving objectVSReliability

Solution Approach 1:

The patent implements dynamic allocation of calculation resources between driving control and energy management tasks. The system adjusts the proportion of computing resources assigned to each function based on real-time driving conditions, ensuring that driving control always receives sufficient processing power while allowing energy management to utilize available resources for improving overall energy efficiency.

Inventive Principle:

Principle #15Dynamics

3Measurement precision

If the BMS handles more energy management functions, then energy management precision is improved, but the processing load on BMS increases

Engineering Contradiction:

Improveenergy management precisionVSAvoidprocessing load

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent extracts complex energy management calculation functions from the BMS and relocates them to the autonomous driving platform's processor. This extraction allows the BMS to maintain high precision in energy management measurements and calculations without being burdened by excessive processing load, as the computationally intensive tasks are handled by the platform's more powerful computing resources.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS12436821B2Vehicle, computing system, operating method of computing system and computer program

Publication Date: 2025.10.07 LG ENERGY SOLUTION LTD

AI summary

A vehicle includes a battery and a computing system that analyzes a first calculation related to driving control of the vehicle and a second calculation related to energy management of the vehicle, obtains driving information related to driving of the vehicle, and manages processing of the first calculation and the second calculation based on the driving information.