BMS Battery Management System Test System — Operating Principle

Power Vehicle BMS Battery Management Test System — Operating Principle

The system employs battery‑simulation technology to emulate all operational states of a new‑energy vehicle’s power battery, including cell voltage, total voltage, current, temperature, and insulation. Through a fault‑injection module, it reproduces various abnormal conditions such as overvoltage, undervoltage, overheating, insulation faults, and open‑circuit sampling lines. The equipment establishes CAN communication with the BMS under test, enabling bidirectional signal and data exchange, and continuously acquires the BMS’s sampled values, control commands, and protection actions. By comparing the system’s setpoint values with the BMS’s feedback data, the system verifies sampling accuracy, balancing performance, high‑voltage control, fault‑alarm functionality, and safety‑protection logic, thereby comprehensively validating the BMS’s hardware and software capabilities and ensuring the safe and reliable operation of the vehicle’s entire battery system.

The power‑vehicle BMS battery‑management test system is based on core principles including battery simulation, signal excitation, fault injection, communication interaction, data acquisition and comparison, and logic verification. It operates entirely without a real‑world traction battery, simulating all operating states of a new‑energy vehicle’s high‑voltage battery pack to comprehensively evaluate the hardware sampling accuracy and software control logic of the onboard BMS.

1. The battery pack full‑condition simulation system integrates multiple high‑precision cell‑level simulation units, a high‑voltage simulation module, a programmable current source, a temperature simulation module, and an insulation simulation module. It can accurately simulate parameters such as the voltage of each cell in every string, the battery pack’s total high voltage, charge/discharge currents, multi‑channel temperature signals, and insulation resistance. In addition, it replicates real‑world vehicle operating conditions—including driving, fast charging, slow charging, standstill, and energy recovery—thereby replacing actual batteries and reducing safety risks during high‑voltage testing.

2. For injecting various fault signals, a dedicated fault‑injection unit is provided, enabling proactive simulation of common vehicle‑battery faults, including single‑cell overvoltage, undervoltage, excessive cell‑to‑cell voltage imbalance, open‑circuit in the sampling line, abnormal temperature, insulation failure, high‑voltage interlock malfunction, contactor failure, overcurrent, and short circuit. These tests are used to verify the accuracy of the BMS’s fault‑detection capabilities, hierarchical alarm thresholds, and safety‑protection responses.

3. The electrical and communication‑signal interface test system supplies the in‑vehicle BMS under test with a low‑voltage operating power source, high‑voltage circuit sampling signals, and discrete control signals; it establishes real-time communication with the BMS via the CAN bus, enabling bidirectional data transmission. The system issues simulated operating‑condition commands and simultaneously receives from the BMS reported data such as voltage, current, temperature, state of charge (SOC), state of health (SOH), fault codes, and high‑voltage control commands.

4. High-precision signal acquisition and real-time monitoring system: It rapidly acquires key signals such as BMS sampling data, MOS and contactor drive signals, equalization output status, and protection‑action response times. It also monitors in real time the BMS’s acquisition errors and hardware output states, while continuously recording test‑process data, timing sequences, and action details.

5. Parameter Comparison and Control Logic Verification: The host computer incorporates national standards and vehicle‑manufacturer‑defined thresholds, enabling comparison and validation between the system’s simulated setpoints and the BMS’s actual measured and calculated data. This process precisely assesses the accuracy of voltage, current, and temperature sampling, while verifying that core functional logic—including active and passive balancing strategies, high‑voltage power‑on/off sequencing, charge/discharge limits, thermal management control, fault alarms, and high‑voltage safety interlocks—complies with specifications.

6. Automated Assessment and Data Management: The system automatically performs comprehensive testing according to a predefined test procedure, intelligently determines whether each function meets the required standards, and automatically saves test data, operational curves, and fault logs, while generating test reports. It is widely used in onboard BMS research and development, production-line final‑stage testing, and certification trials, ensuring the safe, accurate, and stable operation of new‑energy vehicle battery management systems.

Energy Storage BMS Battery Management Test System — Operating Principle

The energy storage BMS test system employs high-precision battery simulation modules to emulate the cell‑level voltage, current, temperature, and insulation status of energy storage battery clusters and modules. A fault‑injection module is used to simulate conditions such as overvoltage, undervoltage, overheating, insulation faults, and communication anomalies. The system establishes communication with the energy storage BMS to acquire, in real time, sampling data, balancing control signals, protection commands, and interlock logic. Measured data are then compared against standard parameters for verification, comprehensively validating the BMS’s data acquisition accuracy, balancing strategy, safety protections, grid‑connection interlocks, and multi‑level alarm functions, thereby ensuring the safe and stable operation of the energy storage system.

The energy storage BMS battery management test system is a comprehensive simulation‑testing platform specifically designed for energy‑storage power stations, battery clusters, and cabinet‑type high‑voltage energy‑storage BMSs. Built around core principles of battery emulation, signal simulation, fault injection, communication interaction, data comparison, and logic verification, the system provides end‑to‑end validation of both the hardware and software performance as well as the control logic of energy‑storage BMSs.

1. The battery‑state simulation system integrates multiple high‑precision cell‑level simulation sources, a high‑voltage simulation unit, a programmable current source, and a temperature‑simulation module. It can accurately emulate real‑world operating parameters of energy‑storage battery modules and clusters, including individual cell voltages, total high voltage, charge/discharge currents, ambient temperature, module temperature differentials, and insulation resistance. The system is capable of simulating various operation modes unique to energy storage, such as normal charge/discharge, float charging, standstill, long‑term standby, and high‑rate charge/discharge, thereby replacing actual battery packs and mitigating safety risks associated with high‑power testing.

2. The multi‑type fault injection simulation device integrates a dedicated fault injection unit, enabling manual, proactive introduction of common faults in energy storage systems, including: single‑cell overvoltage/undervoltage, excessive cell‑to‑cell voltage imbalance, sampling line disconnection, temperature sensor failure, abnormal high/low temperatures, reduced insulation resistance, leakage current, high‑voltage anomalies, contactor malfunctions, and communication interruptions. This capability is used to evaluate the energy storage BMS’s fault detection performance, alarm logic, and hierarchical protection mechanisms.

3. The signal interaction and communication interface test system establishes industrial communication links such as CAN and RS‑485 with the energy storage BMS under test, while also providing low‑voltage control power, high‑voltage circuit signals, contactor control signals, and interlocked digital input/output signals. It enables real-time bidirectional data exchange, issues operating‑condition commands, and synchronously receives voltage, current, temperature, SOC, SOH, alarm codes, and operational status information reported by the BMS.

4. The high-speed data acquisition and real-time monitoring system, utilizing high-precision acquisition units, continuously monitors key parameters of the BMS, including sampling accuracy, balancing output, relay drive signals, protection‑trip response time, and balancing current magnitude. It synchronously records all test data, event timing, and state transitions throughout the entire process, ensuring full traceability of the testing procedure.

5. Strategy Logic Validation and Comparison: The host‑computer software incorporates standard algorithms and industry‑specific threshold values for energy storage systems, enabling real-time comparison between simulated system parameters and data acquired and calculated by the BMS. It verifies the sampling errors of BMS voltage, current, and temperature measurements, and validates whether the passive/active equalization control strategies, multi‑level alarm logic, fault classification, high‑voltage on/off sequencing, cluster‑level interlocking protection, and grid‑connection coordination logic are reasonable and accurate.

6. Automated judgment, data storage, and closed-loop control: The system automatically performs full‑scale testing according to the predefined test procedure and automatically determines pass or fail for each test item. It comprehensively archives test data, trend curves, and fault logs, and generates test reports automatically. This solution meets the testing requirements across all scenarios—R&D validation of energy‑storage BMSs, production‑line testing, type testing, and project acceptance—ensuring the safe, stable, and reliable operation of energy‑storage BMSs in large‑scale energy‑storage applications.