Electric Vehicle Power Control for Smooth, Energy-Efficient Driving
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Solution Overview
Problem
Existing electric and electrified vehicles face challenges in optimizing energy management, leading to reduced quality of use, increased energy consumption, and stress on electrical and mechanical components due to factors like range anxiety, abrupt accelerations, and inefficient power delivery.
Innovation Solution
A method and system that automatically adjust the vehicle's engine commands to optimize on-board energy flows, using a software sensor to measure the quality of use index and adapt the power delivery and transmission ratio in real-time to minimize energy consumption and improve driving experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the vehicle uses electric or electrified propulsion systems, then energy consumption is reduced and environmental impact is minimized, but range anxiety increases and quality of use deteriorates when battery charge level is low
Solution Approach 1:
The system continuously monitors battery charge level, vehicle speed, acceleration, and power delivery through sensors and control modules. It uses feedback loops to adjust power delivery dynamically, optimizing energy consumption while maintaining quality of use by preventing abrupt accelerations and managing range anxiety through real-time energy flow optimization.
Solution Approach 2:
The control system dynamically adjusts power delivery, transmission ratio, and acceleration profiles based on real-time operating conditions. It modifies engine commands and motor assistance levels adaptively, transitioning between different power sources and delivery modes to optimize both energy consumption and quality of use across varying battery charge levels.
2Speed
If the vehicle delivers power abruptly to respond to user commands, then responsiveness and user satisfaction improve, but mechanical stress on components increases and component lifespan decreases
Solution Approach 1:
The control system applies preliminary anti-action by smoothing power delivery commands before they reach the motor and drivetrain. It anticipates user requests and pre-adjusts power delivery to avoid abrupt changes, reducing mechanical stress on components while maintaining perceived responsiveness through optimized acceleration profiles.
Solution Approach 2:
The system provides beforehand cushioning by implementing soft-start mechanisms and progressive power delivery ramps. It cushions the mechanical system against sudden torque changes and acceleration spikes, protecting components from stress while delivering smooth, comfortable acceleration that maintains user satisfaction.
3Duration of action of stationary object
If the vehicle optimizes energy management to reduce consumption, then electrical component lifespan extends, but quality of use may deteriorate due to reduced power availability
Solution Approach 1:
The system changes operating parameters dynamically, adjusting power delivery limits, acceleration rates, and motor assistance levels based on battery charge state and component conditions. It modifies electrical and mechanical parameters in real-time to extend component lifespan while maintaining acceptable quality of use through optimized energy management strategies.
Solution Approach 2:
The control system serves multiple functions simultaneously: it manages energy consumption, protects electrical and mechanical components, maintains quality of use, and adapts to varying operating conditions. It integrates functions of power management, component protection, and user experience optimization into a single unified control system.
4Device complexity
If the transmission ratio is fixed, then device complexity is reduced, but energy efficiency deteriorates due to inability to optimize for varying operating conditions
Solution Approach 1:
The transmission system transitions from fixed to dynamic ratio adjustment. The control module continuously optimizes transmission ratio based on vehicle speed, load, and power delivery requirements, improving energy efficiency while managing complexity through electronic control rather than mechanical complexity.
Data Source
AI summary
A method optimizes the efficiency and quality of use of an electric vehicle. The vehicle includes an electric motor module, a battery module to power the electric motor module, a sensor group, and a control module. The method involves the control module acquiring measurements of the vehicle. The control module also calculates an operating parameter characterizing the use of the vehicle within a predetermined time interval based on the acquired measurements as a function of a power output from the motor; defines a quality of use index based on the operating parameter; determines an optimal value of the power output from the motor for which the quality of use index is equal to or greater than a limit value; and generates a control signal to modify the power output from the electric motor and the transmission ratio from the measured value to the optimal value within the time interval.