ID 原文 译文
16235 设计了一种声光驱鸟控制系统。以STM32微处理器为核心搭建硬件控制系统，并给出了具体的硬件电路实现。 An acousto-optic control system was designed for expelling birds,which took the STM32 microprocessor as the core to build the hardware control system,and the implementation of hardware circuit was given.
16236 为了解决鸟类适应性问题，设计了不同档位之间的切换。 To solve the problem of bird adaptability,the function of switching different gear positions was designed.
16237 为了验证系统的性能，对所测LED的光斑区域进行等面积划分，并对其照度进行了测试。 In order to verify the performance of the system,the measured LED spot area was divided into equal areas,and its illumination was tested.
16238 结果表明：所设计的系统光照照度达到200 Lx以上，为设计新型驱鸟系统提供了参考。 The results showed that the illumination of the designed system could reach more than 200 Lx,which could provide a reference for designing a new type of bird repellent system.
16239 锂离子电池具有循环寿命长、能量密度高、自放电率低、环境污染小等优点，在电动汽车产业中得到广泛应用。 Lithium-ion battery has been widely used in electric vehicle industry because of its long cycle life,high energy density, low self-discharge rate and low environmental pollution.
16240 电动汽车中的电池管理系统(BMS)可以维护和监测电池状态，确保电池的安全性和可靠性。 The Battery Management System(BMS) in electric vehicles can maintain and monitor the battery status to ensure the security and reliability of the battery.
16241 电池荷电状态(SoC)表示电池中剩余的电量，是BMS的重要参数之一。 The battery’s State of Charge (SoC) represents the remaining power in the battery and is one of the important parameters of the BMS.
16242 实时精确的SoC估算可以延长电池寿命，保障行驶安全。 Real-time and accurate SoC estimation can extend battery life andensure driving safety.
16243 然而锂离子电池是一个高度复杂的非线性时变系统，电池寿命、环境温度、电池自放电等许多未知因素均会对估算精度造成影响，使估算难度大大增加。 However, Lithium-ion battery is indeed a highly complex nonlinear time-varying system, many unknown factors, such as battery life, ambient temperature, battery self-discharge and so on, will affect the estimation accuracy, which greatly increases the difficulty of estimation.
16244 为了满足不同条件下对锂离子电池SoC精确、快速、实时估算的要求，需要对SoC估计算法进行进一步研究与改进。 To meet the requirements ofaccurate, rapid and real-time SoC estimation for Lithium-ion batteries under different conditions, furtherresearch and improvement of SoC estimation algorithm are needed.