Autonomous EV Energy Management for Sensor Power Allocation
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Solution Overview
Problem
The increased power consumption required for autonomous operation in electric vehicles reduces their range between charging events, posing a concern for consumers.
Innovation Solution
An energy management system for electric autonomous vehicles that includes a processor-controlled system with a pre-allocation input mechanism, navigation module, and autonomous input mechanisms, which selectively powers or tunes the usage of these mechanisms based on driving conditions to conserve battery energy by reducing power during scenarios where it is not necessary for autonomous operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous input mechanisms are continuously powered during autonomous operation, then the vehicle can maintain full autonomous operation capability, but the battery energy consumption increases and range is reduced
Solution Approach 1:
The system dynamically adjusts the power state of autonomous input mechanisms based on real-time driving conditions. The processor monitors scenario characteristics and automatically transitions mechanisms between powered and unpowered states, making the system adaptable to varying operational requirements while optimizing energy consumption.
Solution Approach 2:
The system pre-identifies scenarios along the route where autonomous input mechanisms will not be necessary for autonomous operation. By planning ahead and preparing to reduce power to these mechanisms in advance, the system optimizes energy consumption without compromising safety or operational capability when needed.
2Use of energy by moving object
If autonomous input mechanisms are powered down to conserve energy, then battery range is extended, but autonomous operation capability may be compromised
Solution Approach 1:
The system continuously monitors driving conditions and scenario characteristics, using this feedback to determine when autonomous input mechanisms can be safely powered down. The processor evaluates real-time data to make informed decisions about power allocation, ensuring that mechanisms remain powered only when necessary for autonomous operation.
Solution Approach 2:
The system changes the operational parameters of autonomous input mechanisms by transitioning them between powered and unpowered states based on scenario requirements. This parameter change allows the system to optimize energy consumption while maintaining the ability to restore full capability when conditions require it.
3Measurement precision
If all autonomous input mechanisms operate at full power, then detection precision and safety are maximized, but energy consumption increases
Solution Approach 1:
The system applies different power states to different autonomous input mechanisms based on their specific needs and the current driving scenario. Instead of uniformly powering all mechanisms at full capacity, the system selectively powers only those mechanisms that are necessary for the current conditions, optimizing both precision and energy consumption.
Data Source
AI summary
An energy management system for an electric autonomous vehicle comprises a battery and a controller comprising a processor and a non-transitory computer-readable medium. The system comprises a pre-allocation input mechanism transmitting an input signal to the processor relating to a travel destination for the vehicle. The system comprises a navigation module receiving a wireless signal from a satellite network relating to a current location of the vehicle. The system comprises an autonomous input mechanism powered by the battery and transmitting an autonomous signal to the processor relating to dynamic conditions for autonomous operation of the vehicle. The processor determines a route between the current location and the travel destination, performs autonomous operation of the vehicle along the route, and selectively powers or tunes the usage of the at least one autonomous input mechanism with the battery during autonomous operation of the vehicle.