EV Powertrain Load Detection for Torque and Speed Response
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Solution Overview
Problem
Hybrid and electric vehicles face challenges in efficiently managing load conditions, particularly in urban environments where air pollution from combustion engine scooters and motorbikes contributes to health issues, and existing technologies lack effective methods to determine and respond to varying loads on electric vehicles.
Innovation Solution
A method to determine load characteristics by obtaining real-time data from the powertrain operation of electric vehicles, comparing it to reference data, and adjusting operational characteristics such as motor torque and battery temperature to optimize performance and reduce pollution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If real-time powertrain data is continuously monitored and compared to reference data to detect load conditions, then vehicle performance optimization and pollution reduction are improved, but device complexity and computational requirements increase
Solution Approach 1:
The system pre-establishes reference data representing normal powertrain operation characteristics before actual monitoring begins. This preliminary preparation allows the monitoring system to simply compare real-time data against these pre-defined benchmarks, reducing the complexity of real-time analysis while maintaining effective pollution detection capabilities
Solution Approach 2:
The system creates simplified copies of normal operation patterns through reference data that captures essential powertrain characteristics. Instead of analyzing complex real-time data from scratch, the system compares against these simplified reference models, reducing computational complexity while maintaining detection accuracy for abnormal load conditions
2Use of energy by moving object
If motor torque is adjusted based on detected load conditions to optimize performance, then energy efficiency is improved, but control system complexity increases
Solution Approach 1:
The system implements a feedback loop where real-time powertrain data is continuously monitored, compared to reference data to detect load conditions, and the results are used to adjust motor torque accordingly. This closed-loop control optimizes energy efficiency by adapting torque output to actual load conditions while maintaining manageable control complexity through systematic data comparison and predefined response protocols
3Reliability
If battery temperature is monitored and managed in response to load conditions, then reliability is improved, but system complexity increases
Solution Approach 1:
The battery management system operates autonomously by continuously monitoring temperature and automatically implementing cooling measures when thermal thresholds are exceeded. This self-service approach improves battery reliability through continuous thermal management while keeping system complexity manageable by eliminating the need for complex manual intervention protocols and using straightforward temperature-threshold-based control logic
Data Source
AI summary
A torque-speed curve or data of load that is used as a standard to determine an external condition in which an electric vehicle is operating such as incline or no incline, head wind or no headwind, high temperature or low temperature. The system compares samples of actual torque-speed of load data to the standard. Based on the comparison, the system determines the external condition (going up a hill, traveling into a headwind, operating at high temperature) or an abnormal operation of the vehicle powertrain, for example, low tire pressure, elevated friction, wheels out of alignment. Based on the determination, the system takes an action to govern a maximum torque output of the motor to control temperature of the vehicle battery; to raise a wind deflector; to govern maximum speed of the vehicle to reduce danger resulting from low tire pressure, elevated powertrain friction or out of alignment wheels; or to initiate an indication of abnormal conditions.