Robot battery high endurance method

Abstract

The invention discloses a high-endurance battery method for a robot, and relates to the technical field of robot power supply systems. According to the method, a graphene material is adopted to construct battery units and the battery units are modularly connected, a battery management system containing a high-precision sensor is configured, a graphene cooling fin and an active cooling device form a thermal management system, multiple safety protection mechanisms are integrated, and a multi-section constant-current and constant-voltage composite charging strategy is adopted. And linkage and man-machine interaction management of the battery system and the robot main control system are realized. According to the invention, the energy density and cruising ability of the battery are improved, rapid charging is supported, reliable operation of the system is ensured through intelligent temperature control and safety protection, the modular design is convenient for maintenance, and the system is suitable for electric wheelchairs, service robots and other scenes with high requirements for cruising and safety. The robot battery system has the advantage that the problem that an existing robot battery system is insufficient in cruising ability, charging efficiency, safety and intelligent management is solved.

Description

Technical Field

[0001] The present invention relates to the field of robotics technology, and in particular to a method for increasing the battery life of a robot. Background Art

[0002] With the rapid development of artificial intelligence and robotics, intelligent devices such as electric wheelchairs and service robots are increasingly being used in healthcare, elderly care, logistics, and other fields. As a core component of a robot's energy supply, battery performance directly affects the device's endurance, operating efficiency, and user experience. Traditional lithium-ion batteries have limitations in energy density, charging speed, and cycle life, making them difficult to meet the demands of high-performance robots. For example, when used for extended periods in electric wheelchairs, traditional lithium batteries often have limited range due to insufficient energy density. Frequent charging by users affects their convenience, and slow charging speeds also reduce the efficiency of the device.

[0003] Graphene, due to its excellent electrical and thermal conductivity and mechanical strength, is considered an ideal material for the next generation of high-performance batteries. However, the application of graphene materials in robotic battery systems still faces many challenges. On the one hand, the battery structure design needs to balance high energy density and mechanical strength. If the structural design is not reasonable, it may lead to performance degradation of the graphene battery during use. On the other hand, the lack of thermal management and safety protection mechanisms will prevent the heat generated by the battery from being dissipated in time, posing a risk of overheating and even safety hazards. Therefore, an efficient, safe, and controllable graphene battery system is urgently needed to improve the endurance and overall performance of robotic equipment. Summary of the Invention

[0004] In order to solve the above-mentioned problems, the present invention proposes a robot battery long-life method to solve the shortcomings of existing robot battery systems in terms of endurance, charging efficiency, safety and intelligent management.

[0005] To solve the above technical problems, the present invention proposes a technical solution: a method for extending the battery life of a robot, comprising:

[0006] Step 1: Using graphene materials as positive and negative electrode materials to construct battery cells and form battery modules;

[0007] Step 2: Connect multiple battery modules in parallel or in series to form a robot battery pack;

[0008] Step 3: Configure the battery management system to perform real-time monitoring, balancing management, and fault protection on the battery pack;

[0009] Step 4: Regulate battery temperature by combining a thermal management system with high thermal conductivity materials and an active cooling device.

[0010] Step 5: Integrate multiple security protection mechanisms;

[0011] Step 6: Configure the fast charging circuit to achieve high-efficiency charging control;

[0012] Step 7: The battery system is linked to the robot main control system through the communication interface to realize dynamic power scheduling;

[0013] Step 8: Realize human-computer interaction and remote battery management through the display interface or mobile terminal.

[0014] Preferably, the battery management system includes a high-precision sensor, an MCU control chip and a wireless communication module.

[0015] Preferably, the thermal management system includes a graphene heat sink, a heat pipe and an air cooling or liquid cooling device.

[0016] Preferably, the fast charging circuit adopts a multi-stage constant current and constant voltage composite charging strategy.

[0017] Preferably, the human-computer interaction interface adopts a graphical interface or voice interaction mode.

[0018] Preferably, the structure of the battery module is optimized to enhance mechanical strength and thermal stability.

[0019] Preferably, the high-precision sensor is used to monitor the voltage, current and temperature parameters of the battery in real time.

[0020] Preferably, the multiple safety protection mechanisms include overvoltage, undervoltage, overcurrent, overtemperature and short circuit protection.

[0021] Preferably, the communication interface includes a CANI2C or UART communication interface to achieve data interaction with the robot main control system.

[0022] Compared with the prior art, the present invention has the following advantages:

[0023] Significantly improve battery life: The high energy density of graphene materials greatly extends battery life, meeting the long-term operation needs of robots. For example, when electric wheelchairs use this battery, the battery life can be increased by more than 50% compared to traditional batteries, reducing the user's charging frequency.

[0024] Fast charging: Optimized charging algorithms and circuit design shorten charging time. The multi-stage constant current and constant voltage composite charging strategy can charge the battery to over 80% in a short period of time, improving equipment efficiency and allowing the robot to quickly return to work.

[0025] Intelligent management and high safety: The integrated power management system enables real-time monitoring and intelligent regulation of battery status. Multiple safety protection mechanisms ensure safe operation of the battery under various abnormal conditions, reducing the risk of equipment failure and improving system reliability. DETAILED DESCRIPTION

[0026] The present invention is described in further detail below.

[0027] Example 1

[0028] This embodiment uses an electric wheelchair as an application scenario to elaborate on the structural design and integration of the graphene battery module. The graphene battery module consists of multiple battery cells, each of which includes a positive electrode, a negative electrode, an electrolyte, and a separator. The positive and negative electrode materials use high-purity graphene, which utilizes its excellent conductivity and specific surface area characteristics to significantly improve the energy density and conductivity of the battery. In the battery cell structure design, a special lamination process is used to optimize the arrangement of electrodes and separators, enhance the mechanical strength of the battery cell, and enable it to maintain stable performance in the vibration environment of daily movement of electric wheelchairs. At the same time, the optimized structure also improves thermal stability and reduces heat accumulation during battery operation.

[0029] Multiple battery cells are connected in parallel or series to form a battery module that meets the voltage and capacity requirements of an electric wheelchair. For example, to meet the power requirements of a certain electric wheelchair, eight battery cells are connected in series to form a module, achieving an output voltage of 24V and a capacity sufficient for a continuous range of 20 kilometers. The module's housing is constructed of high-strength composite materials, and an internal buffer structure further enhances the module's impact resistance, making it suitable for complex operating environments.

[0030] In practical applications, this battery module is integrated into the electric wheelchair's power system through a standardized electrical interface, ensuring reliable and secure connections. Furthermore, the module's installation location has been optimized to facilitate routine maintenance and replacement, reducing user costs. Compared to traditional lithium-ion battery modules, this graphene battery module in an electric wheelchair boasts an energy density increase of over 40%, increasing the wheelchair's range from 15 kilometers to over 25 kilometers, effectively addressing user demands for increased range.

[0031] Example 2

[0032] This example describes in detail the hardware components and software control logic of a battery management system for use in service robotics scenarios. The battery management system includes a control chip, sensor modules, communication interfaces, and protection circuits. The control chip, which utilizes a high-performance MCU, is responsible for battery charge and discharge management, balancing control, and fault diagnosis. It integrates complex control algorithms that adjust the battery's operating status in real time based on sensor data.

[0033] The sensor module includes high-precision voltage, current, and temperature sensors for real-time monitoring of various battery parameters. The voltage sensor boasts an accuracy of 0.1%, accurately detecting changes in battery cell voltage. The current sensor utilizes the Hall effect principle to monitor charge and discharge currents in real time, achieving an accuracy of 1%. Temperature sensors are located at key locations within the battery module, collecting temperature data in real time with a sampling frequency of 100Hz, ensuring timely detection of temperature anomalies.

[0034] The communication interface enables data exchange with the service robot's main control system, using CAN bus communication to ensure stable and real-time data transmission. The protection circuit includes protection functions for overcharge, over-discharge, overcurrent, short circuit, and overtemperature. When an abnormality is detected, the protection circuit quickly activates and disconnects the circuit to prevent battery damage.

[0035] In terms of software control logic, after the system is started, the sensor module collects battery parameters in real time and transmits them to the control chip, which analyzes and processes the data. During the charging process, the control chip adopts a multi-stage constant current and constant voltage charging strategy based on the battery status. In the initial stage, it charges rapidly with a large current. When the battery voltage approaches the set upper limit, it automatically switches to constant voltage charging mode. When it is nearly full, it enters the trickle current replenishment stage to ensure charging efficiency and safety. During the discharge process, the control chip monitors the battery voltage and current in real time. When it detects that the voltage is too low or the current is abnormal, it activates the protection mechanism. At the same time, according to the working status of the service robot, it links with the main control system through the communication interface to dynamically adjust the discharge power and optimize energy distribution.

[0036] The application of this battery management system in service robots enables accurate monitoring of battery status, with a battery balancing efficiency of over 95%, effectively extending battery life. At the same time, through linkage with the main control system, the service robot's energy consumption in different working modes is reduced by 20%, improving the overall operating efficiency of the equipment.

[0037] Example 3

[0038] This example uses a security robot as an application scenario to explain in detail the collaborative working mechanism of the thermal management system and fast charging technology. The thermal management system embeds a high-thermal-conductivity graphene heat sink in the battery module. The graphene heat sink has a thermal conductivity of over 5000W / (m·K), which can quickly dissipate the heat generated by the battery during operation. At the same time, it is equipped with an active heat dissipation device, including a heat pipe and an air cooling system. The heat pipe transfers the heat from the heat sink to the cooling fins, and the fan forces air flow to accelerate heat dissipation.

[0039] In terms of fast charging technology, a multi-stage constant current and constant voltage composite charging strategy is adopted. During the initial charging phase, the system monitors the battery temperature and status. If the temperature is between 25°C and 35°C, constant current charging is initiated at a high current of 3C, rapidly increasing the battery charge level. When the battery voltage reaches 90% of the set value, it automatically switches to constant voltage charging mode, gradually reducing the current. When the current drops to 0.1C, it enters the trickle current charging stage, ensuring the battery is fully charged without overcharging.

[0040] The specific process of the thermal management system and fast charging technology working together is as follows: during fast charging, the temperature sensor monitors the battery temperature in real time. When the temperature exceeds 35°C, the thermal management system activates the active heat dissipation device to increase the heat dissipation intensity to ensure that the battery temperature does not exceed 40°C, avoiding the impact of high temperature on battery performance and life; when the temperature is below 25°C, the system activates the temperature compensation logic and appropriately adjusts the charging current to ensure charging efficiency.

[0041] In practical applications of security robots, this collaborative system enables rapid battery charging, charging the battery from 20% to 80% in just 30 minutes, meeting the security robot's need for short-term recharging. Simultaneously, the thermal management system ensures that the battery temperature remains within a reasonable range during charging, with temperature fluctuations of no more than 5°C during charging, effectively protecting battery performance and extending its cycle life. Furthermore, the system automatically adjusts its cooling strategy based on the security robot's operating temperature, enhancing heat dissipation in high-temperature environments and initiating thermal insulation measures in low-temperature environments. This ensures that the battery can function normally in temperatures ranging from -10°C to 50°C, enhancing the security robot's adaptability in diverse environments.

[0042] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A method for extending the battery life of a robot, characterized in that: include: Step 1: Using graphene materials as positive and negative electrode materials to construct battery cells and form battery modules; Step 2: Connect multiple battery modules in parallel or in series to form a robot battery pack; Step 3: Configure the battery management system to perform real-time monitoring, balancing management, and fault protection on the battery pack; Step 4: Regulate battery temperature by combining a thermal management system with high thermal conductivity materials and an active cooling device. Step 5: Integrate multiple security protection mechanisms; Step 6: Configure the fast charging circuit to achieve high-efficiency charging control; Step 7: The battery system is linked to the robot main control system through the communication interface to realize dynamic power scheduling; Step 8: Realize human-computer interaction and remote battery management through the display interface or mobile terminal.

2. A method for extending the battery life of a robot according to claim 1, characterized in that: The battery management system includes a high-precision sensor, an MCU control chip and a wireless communication module.

3. The method for extending the battery life of a robot according to claim 1, characterized in that: The thermal management system includes a graphene heat sink, a heat pipe, and an air cooling or liquid cooling device.

4. The method for extending the battery life of a robot according to claim 1, characterized in that: The fast charging circuit adopts a multi-stage constant current and constant voltage composite charging strategy.

5. The method for extending the battery life of a robot according to claim 1, characterized in that: The human-computer interaction interface adopts a graphic interface or a voice interaction mode.

6. The method for extending the battery life of a robot according to claim 1, characterized in that: The structure of the battery module is optimized to enhance mechanical strength and thermal stability.

7. The method for extending the battery life of a robot according to claim 2, characterized in that: The high-precision sensor is used to monitor the voltage, current and temperature parameters of the battery in real time.

8. The method for extending the battery life of a robot according to claim 1, characterized in that: The multiple safety protection mechanisms include overvoltage, undervoltage, overcurrent, overtemperature and short circuit protection.

9. The method for extending the battery life of a robot according to claim 1, characterized in that: The communication interface includes a CANI2C or UART communication interface to achieve data interaction with the robot main control system.