Autonomous Driving Compute Allocation for EV Energy Management
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Solution Overview
Problem
Conventional electric vehicles lack efficient energy management functions, limiting the processing capability of battery management systems (BMS) to handle advanced energy management calculations required for autonomous driving, leading to suboptimal energy efficiency.
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 processing according to vehicle states and battery conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the battery management system (BMS) processes advanced energy management calculations, then energy management capability is improved, but the processing capability of the BMS reaches its limits
Solution Approach 1:
The patent divides the calculation processing into two segments: basic energy management calculations are handled by the BMS, while advanced energy management calculations are offloaded to the autonomous driving platform's processor. This segmentation allows the BMS to maintain its core functions without being overwhelmed by complex calculations, resolving the contradiction between improved energy management capability and BMS processing limits
Solution Approach 2:
The autonomous driving platform's processor is designed to perform multiple functions: it handles both autonomous driving calculations and advanced energy management calculations. This multi-functionality allows the system to process advanced energy management tasks without requiring a dedicated additional processing unit, thus improving energy management capability while avoiding excessive system complexity
2Productivity
If calculation resources are allocated to energy management functions, then energy management processing is improved, but driving control processing may be affected
Solution Approach 1:
The patent implements dynamic allocation of calculation resources where the processor adjusts the proportion of resources dedicated to energy management versus driving control based on real-time vehicle conditions. When driving control requires more attention (e.g., complex traffic situations), more resources are allocated to driving control; when energy management is more critical (e.g., battery charging/discharging decisions), resources are shifted accordingly. This dynamic approach ensures both functions maintain adequate processing capacity
Solution Approach 2:
The system continuously monitors the processing status and performance of both driving control and energy management functions. Based on this feedback, the processor dynamically adjusts resource allocation to maintain optimal performance for both functions. This feedback mechanism ensures that driving control reliability is maintained while still allowing advanced energy management processing to occur
Data Source
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.