Battery Pack Motion-Sensing Control for Stability
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Solution Overview
Problem
Existing battery packs used in hybrid and electric vehicles and mobile devices face inefficiencies in energy regeneration and stability due to inadequate control over charging and discharging, particularly when transitioning between movement and standstill states, leading to potential overcharge or overdischarge conditions.
Innovation Solution
A battery pack system that includes sensors to detect motion information and a battery manager to control charging and discharging modes based on this information, applying different protection levels for charge and discharge operations to prevent overcharge or overdischarge, with distinct modes for movement and standstill states, and varying protection levels based on the slope of the batteries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the same control method is used for charging regardless of motion state, then the control system is simple, but the battery pack stability deteriorates and regenerated energy use becomes inefficient
Solution Approach 1:
The patent applies dynamics by making the control parameters adaptive rather than static. The battery manager dynamically adjusts protection levels and charging parameters based on real-time motion information from sensors, transitioning between different control modes (movement mode vs. standstill mode) to optimize both stability and energy efficiency without requiring overly complex hardware
2Reliability
If motion sensing and mode switching control are implemented, then battery pack stability improves and energy efficiency increases, but the device complexity increases
Solution Approach 1:
The control system is segmented into distinct operational modes (movement mode and standstill mode) with different protection levels and control parameters. This segmentation allows the system to apply simplified, optimized control logic for each specific state rather than requiring a single complex control algorithm that handles all scenarios
Solution Approach 2:
The system implements feedback by continuously monitoring motion information through sensors and using this information to adjust charging parameters and protection levels in real-time. The battery manager receives feedback from motion sensors and automatically switches between control modes, creating a closed-loop system that improves stability without requiring complex manual intervention
3Use of energy by moving object
If protection levels are adjusted based on motion state, then energy regeneration efficiency improves, but the control complexity increases
Solution Approach 1:
The patent changes control parameters (protection levels, charging current thresholds, voltage thresholds) based on motion state. During movement, the system applies one set of parameters optimized for regenerative braking, while during standstill, it applies different parameters optimized for stationary charging, thereby improving energy efficiency through parameter adaptation rather than complex control logic
Data Source
AI summary
A battery pack includes a plurality of rechargeable batteries, a sensor, and a battery manager. The sensor obtains motion information of the rechargeable batteries. The motion information includes at least one of first information obtained by sensing whether the rechargeable batteries are in a movement state or in a standstill state or second information on a state in which the rechargeable batteries are inclined. The second information may be obtained based on a change in angle when the rechargeable batteries are in the movement state. The battery manager control charging or discharging of the rechargeable batteries in a charge mode or a discharge mode based on the motion information.