Smart Device Driver Assistance for Battery-Aware Trip Planning
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Solution Overview
Problem
Existing driver assistance systems for electric and hybrid vehicles, particularly two-wheeled vehicles, are complex, expensive, and difficult to assemble and maintain, failing to provide real-time vehicle and environmental data to assist users in trip planning, navigation, and parking, while also being economically unviable.
Innovation Solution
A driver assistance system utilizing a smart device interface with vehicle sensors, a server, and a display device to provide real-time vehicle, environmental, and user-related data, including battery state monitoring and driving suggestions, with a discrete architecture for ease of assembly and maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a complex assistance system is used to manage battery state and health, then battery management capability is improved, but system complexity and cost increase
Solution Approach 1:
The patent introduces a server as an intermediary component that handles complex battery management computations and trip planning externally. The server receives vehicle data from sensors, processes battery state information, and returns management recommendations to the vehicle's control unit, thereby reducing on-vehicle system complexity while maintaining advanced battery management capability
Solution Approach 2:
The system is divided into distinct functional modules: sensor units for data collection, control units for local processing, a remote server for complex computations, and display devices for user interaction. This segmentation allows each component to be optimized independently and simplifies the overall system architecture by distributing computational loads
2Adaptability or versatility
If a complex assistance system is used for trip planning and navigation, then trip management capability is improved, but ease of operation deteriorates due to safety concerns
Solution Approach 1:
The system automatically performs trip planning, route optimization, and navigation without requiring manual user input. The control unit receives destination information, and the server autonomously calculates optimal routes considering battery state, traffic conditions, and charging station locations, then provides step-by-step navigation guidance to the user
Solution Approach 2:
The system continuously monitors actual vehicle position, battery consumption, and route conditions, comparing them against the planned trip parameters. Based on this feedback, the server dynamically adjusts the route and provides real-time navigation updates, ensuring the trip remains optimized throughout the journey
3Use of energy by moving object
If more battery capacity is added to accommodate electrical components, then power availability is improved, but vehicle volume increases
Solution Approach 1:
The system dynamically manages battery power allocation based on real-time vehicle conditions and trip requirements. The control unit receives battery state information from sensors, and the server calculates optimal power distribution strategies that prioritize critical functions while minimizing overall power consumption, allowing the existing battery to meet all power needs without expansion
Solution Approach 2:
The system changes operational parameters such as motor power output, auxiliary device activation, and charging/discharging rates based on real-time battery state. By dynamically adjusting these parameters, the system maximizes the effective capacity of the existing battery, ensuring sufficient power availability for all electrical components without requiring additional battery volume
Data Source
AI summary
The present subject matter relates generally to a driver assistance system and method for a vehicle. The driver assistance system includes a vehicle having a plurality of sensors, a telematics unit to communicate vehicle level data to the surroundings of the vehicle, a display device to display the vehicle level data, a server, and a smart device. The smart device communicates with the server on a first network and with the display device on a second network. The vehicle, the server, and the smart device communicates through each other via communication network. The invention is based on smart device interface with different communication devices to provide the user with real time vehicle, environmental data, and user related data.