Intelligent control system for intelligent battery of electric power-assisted integrated wheel
By employing technologies such as a dual-core heterogeneous main control module, a multi-source environmental sensing unit, and a four-quadrant dynamic energy distribution module, the problems of insufficient energy consumption monitoring accuracy and poor environmental adaptability in electric power-assisted equipment have been solved, achieving rapid response and efficient energy management, and improving the stability and safety of the system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- UNIVERSE ELECTRIC TECH (HANGZHOU) CO LTD
- Filing Date
- 2025-06-04
- Publication Date
- 2026-04-24
AI Technical Summary
Existing battery management systems for electric power assist devices suffer from problems such as insufficient energy consumption monitoring accuracy, poor environmental adaptability, limited charging and discharging strategies, response delays, and communication delays. In particular, they have deficiencies in the design of traditional PID control algorithms and thermal management modules.
It adopts a dual-core heterogeneous main control module, a multi-source environmental sensing unit, a four-quadrant dynamic energy distribution module, and a three-level safety protection subsystem, combined with a dual-mode wireless communication module, to achieve high-precision data acquisition and processing, dynamic energy management, and multi-level safety protection.
It improves system response speed and energy management accuracy, enhances stability and safety in complex environments, optimizes riding experience and energy utilization efficiency, and supports remote monitoring and status visualization management.
Smart Images

Figure CN224159182U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of electric assist equipment technology, specifically to an intelligent battery intelligent control system for an integrated electric assist wheel. Background Technology
[0002] The intelligent battery control system for integrated electric-assisted wheels is an integrated electric-assisted drive solution primarily used in personal transportation vehicles such as electric bicycles and electric scooters. This system highly integrates the battery, motor controller, and intelligent management unit within the wheel, achieving a compact design and intelligent control. Existing battery management systems for electric-assisted devices suffer from several shortcomings during operation: insufficient energy consumption monitoring accuracy (±5% error), poor environmental adaptability (temperature range -10℃ to 40℃), and a simplistic charging and discharging strategy. Current solutions still exhibit issues such as response delays in traditional PID control algorithms, communication delays between the BMS system and the drive unit (average >50ms), and passive heat dissipation design flaws in the thermal management module.
[0003] Therefore, in view of the above-mentioned problems, this technical solution proposes an intelligent battery control system for an integrated electric-assisted wheel. Utility Model Content
[0004] The purpose of this invention is to provide an intelligent battery control system for an integrated electric wheel to solve the problems mentioned in the background art.
[0005] To achieve the above objectives, this utility model provides the following technical solution:
[0006] The intelligent battery control system for the electric-assisted integrated wheel includes a dual-core heterogeneous main control module, a multi-source environmental sensing unit, a four-quadrant dynamic energy distribution module, a three-level safety protection subsystem, and a dual-mode wireless communication module;
[0007] The dual-core heterogeneous main control module is connected to the four-quadrant dynamic energy distribution module via a CAN bus;
[0008] The dual-core heterogeneous main control module uses dual Cortex-M7 / M4 microcontrollers. The Cortex-M7 core runs real-time control algorithms, the Cortex-M4 core handles security monitoring tasks, and the two cores exchange data through shared memory. It is externally equipped with a 4-channel CAN-FD controller, an 8-channel DMA controller, and 2 hardware encryption engines.
[0009] The multi-source environmental sensing unit includes: a sensor array;
[0010] The sensor array is distributed in an eight-node configuration and includes a current sensor, a barometric pressure sensor, a humidity sensor, a digital temperature sensor, and a triaxial accelerometer.
[0011] The multi-source environmental sensing unit also includes a signal conditioning circuit design, which includes: a three-dimensional vibration monitoring MEMS chip and a high-precision current Hall sensor;
[0012] When the signal conditioning circuit performs current sampling during operation, its link is as follows: Hall sensor → Instrumentation amplifier (INA188) → Anti-aliasing filter (10kHz) → 24-bit Σ-Δ ADC (ADS1263);
[0013] Vibration signals are processed through a hardware integration circuit (converting acceleration into velocity signals) and a programmable bandpass filter (5-2000Hz).
[0014] The four-quadrant dynamic energy distribution module adopts a bidirectional DC-DC main circuit with the following topology: synchronous Buck-Boost, switching frequency: 500kHz (SiC MOSFET), inductance parameters: 0.47μH, and saturation current: 200A.
[0015] The three-level security protection subsystem includes primary, secondary, and ultimate triple protection.
[0016] Compared with the prior art, the beneficial effects of this utility model are:
[0017] Through innovative hardware architecture and algorithm optimization, faster system response speed and more precise energy management are achieved, effectively improving overall operating efficiency;
[0018] Enhanced data acquisition and processing capabilities enable high-precision monitoring and analysis in complex environments.
[0019] By establishing a closed loop from early warning to emergency response through a multi-level security protection mechanism, the system's ability to withstand risks is greatly enhanced.
[0020] Through adaptive learning capabilities, it can dynamically match user needs and optimize the riding experience and energy efficiency.
[0021] It supports remote monitoring and data analysis, enabling real-time visual management of equipment status.
[0022] Designed for complex environments such as extreme temperatures, humidity, and vibration, the system ensures stable operation under harsh conditions.
[0023] Modular design and self-diagnostic functions simplify the operation and maintenance process, reducing maintenance difficulty and cost. Attached Figure Description
[0024] Figure 1 This is a diagram of the intelligent battery control system architecture for an integrated electric wheel.
[0025] Figure 2This is a flowchart illustrating the operation of the intelligent battery control system for the electric-assisted wheel.
[0026] The system includes: 1. Dual-core heterogeneous main control module; 2. Multi-source environmental sensing unit; 3. Four-quadrant dynamic energy distribution module; 4. Three-level safety protection subsystem; 5. Dual-mode wireless communication module. Detailed Implementation
[0027] It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.
[0028] In the description of this utility model, it should be understood that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this utility model. Furthermore, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this utility model, unless otherwise stated, "a plurality of" means two or more.
[0029] In the description of this utility model, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this utility model based on the specific circumstances.
[0030] The present invention will now be described in detail with reference to the accompanying drawings and embodiments.
[0031] Please see Figure 1 The intelligent battery intelligent control system for the electric-assisted integrated wheel includes a dual-core heterogeneous main control module 1, a multi-source environmental sensing unit 2, a four-quadrant dynamic energy distribution module 3, a three-level safety protection subsystem 4, and a dual-mode wireless communication module 5.
[0032] The dual-core heterogeneous main control module 1 is connected to the four-quadrant dynamic energy distribution module 3 via a CAN bus;
[0033] The dual-core heterogeneous main control module 1 uses dual Cortex-M7 / M4 microcontrollers. The Cortex-M7 core runs real-time control algorithms, the Cortex-M4 core handles security monitoring tasks, and the two cores exchange data through shared memory. It is externally equipped with a 4-channel CAN-FD controller, an 8-channel DMA controller, and 2 hardware encryption engines.
[0034] The multi-source environmental sensing unit 2 includes: a sensor array;
[0035] The sensor array is distributed in an eight-node configuration and includes a current sensor, a barometric pressure sensor, a humidity sensor, a digital temperature sensor, and a triaxial accelerometer.
[0036] The multi-source environmental sensing unit 2 also includes a signal conditioning circuit design, which includes: a three-dimensional vibration monitoring MEMS chip and a high-precision current Hall sensor;
[0037] When the signal conditioning circuit performs current sampling during operation, its link is as follows: Hall sensor → Instrumentation amplifier (INA188) → Anti-aliasing filter (10kHz) → 24-bit Σ-Δ ADC (ADS1263);
[0038] Vibration signals are processed through a hardware integration circuit (converting acceleration into velocity signals) and a programmable bandpass filter (5-2000Hz).
[0039] The four-quadrant dynamic energy distribution module 3 adopts a bidirectional DC-DC main circuit with the following topology: synchronous Buck-Boost, switching frequency: 500kHz (SiC MOSFET), inductance parameters: 0.47μH, and saturation current: 200A.
[0040] The Level 3 security protection subsystem 4 includes primary, secondary, and ultimate triple protection;
[0041] Primary protection: Resettable fuse (40A holding current)
[0042] TVS diode array (SMC package, 6000W surge)
[0043] Secondary protection:
[0044] Mechanical relay (contact capacity 150A)
[0045] Zero-voltage switching circuit (to reduce electric arc)
[0046] Ultimate Protection:
[0047] Explosive fuse (operating time <100μs)
[0048] Epoxy resin potting protection (IP69K protection rating).
[0049] The dual-mode wireless communication module 5 adopts RF front-end design and electromagnetic compatibility design. The RF front-end design includes an antenna system with the following structure: loop dipole antenna, gain: 5.2dBi @2.4GHz, VSWR: <1.5:1;
[0050] The electromagnetic compatibility design employs a π-type filter network (cutoff frequency 100MHz), a common-mode choke (100Ω@100MHz), and a shield (0.15mm galvanized steel plate).
[0051] As a preferred embodiment of the present invention, its operation process is as follows: (1) Data acquisition and transmission,
[0052] Multi-source environmental sensing unit 2 collects data in real time through a sensor array:
[0053] Environmental parameters: temperature (8 o'clock), humidity, air pressure.
[0054] Electrical parameters: Voltage (0-60V), Current (±50A), Insulation resistance,
[0055] Mechanical parameters: rotational speed (0-2000 rpm), torque (0-100 Nm), vibration spectrum.
[0056] The signal conditioning circuit performs preprocessing:
[0057] Second-order Butterworth filter (cutoff frequency 1kHz)
[0058] Programmable gain amplifier (adjustable from 1 to 100 times)
[0059] The data is uploaded to the main control module via the CAN bus.
[0060] Data processing and decision making
[0061] Dual-core task allocation:
[0062] Cortex-M7 core: executes motor control algorithms (FOC vector control).
[0063] Dynamic impedance matching calculation (μs-level response);
[0064] Cortex-M4 core: Runs safety monitoring tasks (temperature gradient analysis) and manages the wireless communication protocol stack;
[0065] Data interaction: Shared memory (128KB SRAM) enables dual-core data synchronization, and hardware semaphore mechanism ensures data consistency.
[0066] Dynamic energy allocation
[0067] Receive SPI control commands (24-bit resolution) from the main control module.
[0068] Four-quadrant DC-DC converter operating modes;
[0069]
[0070] Security protection linkage,
[0071] Level 3 protection trigger mechanism;
[0072]
[0073] (5) Wireless communication interaction,
[0074] Dual-mode switching strategy:
[0075]
[0076] The preferred embodiments of the present invention have been described in detail above. However, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention.
Claims
1. An intelligent battery control system for an integrated electric-assisted wheel, characterized in that, It includes a dual-core heterogeneous main control module (1), a multi-source environmental sensing unit (2), a four-quadrant dynamic energy distribution module (3), a three-level safety protection subsystem (4), and a dual-mode wireless communication module (5).
2. The intelligent battery control system for the integrated electric-assisted wheel according to claim 1, characterized in that, The dual-core heterogeneous main control module (1) is connected to the four-quadrant dynamic energy distribution module (3) via a CAN bus.
3. The intelligent battery control system for the integrated electric-assisted wheel according to claim 1, characterized in that, The dual-core heterogeneous main control module (1) adopts dual Cortex-M7 / M4 microcontrollers. The Cortex-M7 core runs real-time control algorithms, the Cortex-M4 core processes security monitoring tasks, and the two cores exchange data through shared memory.
4. The intelligent battery control system for the integrated electric-assisted wheel according to claim 1, characterized in that, The multi-source environmental sensing unit (2) includes a sensor array, which is distributed in an eight-node manner and includes a current sensor, a barometric pressure sensor, a humidity sensor, a digital temperature sensor, and a triaxial accelerometer.
5. The intelligent battery control system for the integrated electric-assisted wheel according to claim 1, characterized in that, The multi-source environmental sensing unit (2) also includes a signal conditioning circuit design, which includes a three-dimensional vibration monitoring MEMS chip and a high-precision current Hall sensor.
6. The intelligent battery control system for the integrated electric-assisted wheel according to claim 1, characterized in that, The four-quadrant dynamic energy distribution module (3) adopts a bidirectional DC-DC main circuit.
7. The intelligent battery control system for the integrated electric-assisted wheel according to claim 1, characterized in that, The three-level security protection subsystem (4) includes primary, secondary and ultimate triple protection.
8. The intelligent battery control system for the integrated electric-assisted wheel according to claim 1, characterized in that, The dual-mode wireless communication module (5) adopts radio frequency front-end design and electromagnetic compatibility design.