Electric Vehicle Powertrain Control via Driving Pattern Recognition
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Solution Overview
Problem
Existing methods for regulating vehicle powertrains in electric vehicles are complex and costly, often relying on specialized hardware and algorithms that struggle to automatically detect driving conditions, leading to inefficient energy consumption and fuel economy.
Innovation Solution
A vehicle control unit with on-board processors maintains pre-generated operation profiles from a remote server, using sensor measurements to identify optimal parameters for propulsion based on environmental conditions, applying regulation parameters without complex classification algorithms or specialized hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex classification algorithms and specialized hardware components are used to detect driving conditions, then measurement precision and adaptability improve, but device complexity and cost increase
Solution Approach 1:
The patent uses pre-generated operation profiles that copy and store optimal parameter sets for different driving conditions. Instead of using complex algorithms to determine optimal parameters in real-time, the system copies pre-computed profiles from storage, achieving accurate driving condition recognition without complex processing hardware or algorithms.
2Use of energy by moving object
If real-time optimal parameter determination is performed using complex algorithms, then energy consumption efficiency improves, but computational complexity and processing time increase
Solution Approach 1:
The patent performs the computationally intensive optimization work in advance by pre-generating operation profiles offline. During actual vehicle operation, the system only needs to retrieve and apply pre-computed optimal parameters, eliminating real-time computational complexity while maintaining energy efficiency.
3Adaptability or versatility
If specialized sensors and processors are deployed for driving pattern recognition, then measurement precision and adaptability improve, but device complexity and reliability worsen
Solution Approach 1:
The patent makes existing vehicle sensors and processors multi-functional by using them for both their primary functions and for driving pattern recognition. The system processes data from existing motion and engine sensors to identify driving patterns, eliminating the need for specialized hardware while maintaining adaptability across different driving conditions.
4Device complexity
If pre-generated operation profiles are used instead of complex algorithms, then device complexity reduces, but measurement precision and adaptability may worsen
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors actual vehicle performance and compares it with expected performance from operation profiles. This feedback allows the system to adaptively select and adjust profiles, maintaining high measurement precision even with simplified hardware by leveraging learned patterns from actual driving data.
Data Source
AI summary
Provided herein are systems and methods of regulating vehicle powertrains in electric vehicles using driving patterns. A vehicle control unit (VCU) can be disposed in the electric vehicle. The VCU can maintain operation profiles. Each operation profile can specify a set of regulation parameters to be applied to the vehicle powertrain for motion measurement and an engine measurement identified as associated with an environmental condition. The VCU can compare the motion measurement and the engine measurement acquired from the sensor with the motion measurement and the engine measurement specified by an operation profile. The VCU can select an operation profile based on the comparison. The VCU can identify the set of regulation parameters for an environmental condition specified by the operation profile. The VCU can apply the set of regulation parameters to the vehicle powertrain to control the propulsion of the electric vehicle in accordance with the operation profile.