Electric Two-Wheeler User Feedback for Battery and Braking Efficiency
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Solution Overview
Problem
Electric vehicle owners lack awareness about drivetrain efficiency and proper usage, leading to inefficiency and reduced power utilization, with existing systems failing to effectively manage and promote efficient driving practices.
Innovation Solution
A system and method utilizing sensors and slave controllers to capture vehicle parameters, calculate score points for battery health, braking patterns, and energy consumption, and generate recommendations using AI to improve drivetrain efficiency and reward users for efficient driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users operate electric vehicles without proper knowledge of drivability parameters, then ease of operation is improved, but drivetrain efficiency deteriorates
Solution Approach 1:
The system continuously monitors drivetrain efficiency parameters and provides real-time feedback to users through a user interface. This feedback includes efficiency scores, performance metrics, and actionable recommendations that guide users toward more efficient operating behaviors without requiring them to have expert knowledge of drivability parameters.
Solution Approach 2:
The patent introduces an intermediary system (the drivetrain efficiency monitoring and feedback system) that translates complex drivability parameters into user-friendly information. This intermediary layer processes raw sensor data and presents simplified efficiency metrics and recommendations to users, bridging the gap between technical parameters and user understanding.
2Power
If maximum power is supplied to electric vehicle motors, then power is improved, but energy waste increases due to drivetrain inefficiency
Solution Approach 1:
The system dynamically adjusts power delivery recommendations based on real-time drivetrain efficiency measurements. Instead of static power management, the system adapts its guidance to current operating conditions, suggesting optimal power usage strategies that maintain performance while minimizing energy waste in varying drivetrain states.
Solution Approach 2:
The patent monitors and responds to changes in drivetrain efficiency parameters by providing adaptive recommendations. When efficiency deteriorates, the system suggests parameter adjustments (such as acceleration patterns, gear selection, or load management) that optimize the balance between power output and energy consumption.
3Ease of operation
If electric vehicles are used without proper maintenance awareness, then ease of operation is improved, but vehicle lifespan deteriorates
Solution Approach 1:
The system enables vehicle owners to self-monitor their own drivetrain efficiency and maintenance needs through the provided feedback interface. Users can independently assess their driving habits' impact on vehicle longevity and make informed maintenance decisions without requiring external expert intervention, thus maintaining ease of operation while extending vehicle lifespan.
Data Source
AI summary
A system for interacting with an electric vehicle user is disclosed. The electric vehicle is configured with a plurality of sensors and a plurality of slave controllers. The system includes a vehicle data receiving subsystem to receive the captured primary and secondary vehicle parameters. A battery charging pattern score estimation subsystem to calculate a first score point for a degradation of charge patterns of a battery. A braking pattern score estimation subsystem to calculate a second score point for braking applied during driving of the electric vehicle. A battery efficacy score estimation subsystem to calculate a third score point for power consumed at the specified distance. An output subsystem to generate and output recommendations including insights driven from at least one of: the first, second, and the third score point using an artificial intelligence.