CN205246835U - Lithium battery power management system based on DS2788 - Google Patents
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Abstract
本实用新型公开了一种基于DS2788的锂电池电量管理系统，属于电源技术领域，系统包括DS2788电量检测模块、霍尔电流检测模块、单片机模块、LED显示模块和电源模块，DS2788电量检测模块和霍尔电流检测模块连接在锂电池上用来检测锂电池的电量和放电电流，霍尔电流检测模块连接DS2788模块，DS2788电量检测模块连接单片机模块用来输出检测数据到单片机模块，LED显示模块连接在DS2788模块上用来显示锂电池的电量电流数据，电源模块连接管理系统内的各个电气模块提供电能支持。本实用新型解决了锂电池电量检测系统成本高，设计复杂，局限性大的问题，具有电路简单、成本低、测量范围广德优点。
The utility model discloses a lithium battery power management system based on DS2788, which belongs to the field of power supply technology. The Hall current detection module is connected to the lithium battery to detect the power and discharge current of the lithium battery. The Hall current detection module is connected to the DS2788 module, and the DS2788 power detection module is connected to the single-chip microcomputer module to output detection data to the single-chip microcomputer module. The module is used to display the power and current data of the lithium battery, and the power module is connected to each electrical module in the management system to provide power support. The utility model solves the problems of high cost, complex design and large limitations of the lithium battery power detection system, and has the advantages of simple circuit, low cost and wide measurement range.
Description
技术领域 technical field
本实用新型属于电源技术领域，涉及电源电量管理方向，具体涉及一种基于DS2788的锂电池电量管理系统。 The utility model belongs to the technical field of power supplies and relates to the direction of power supply power management, in particular to a DS2788-based lithium battery power management system.
背景技术 Background technique
在面对全球气候的恶劣变化，纯电动汽车成为汽车产业未来发展的主要方向，而影响电动汽车发展的主要因素是其动力源的锂电池。为了确保电动汽车的安全、稳定、正常运行,需要对电池进行必要的控制和管理以使其能够保持良好的性能并延长它的使用寿命。所以,合理利用电池对电动汽车是非常重要的。然而，及时、准确地获取电池剩余电量是对电池进行控制和管理的主要方面。这是因为电池剩余电量的多少直接反映了电池所处的状态,通过它可以预测电动汽车的续驶里程,避免电池的过充过放，均衡电池性能之间的不一致性,从而保证了电动汽车的安全、稳定运行。所以对电池剩余电量进行实时在线估计是非常重要,也是很有意义的。如何有效地利用如何有效地利用电池的能量推动了电池电量估计的诞生。 In the face of severe changes in the global climate, pure electric vehicles have become the main direction of the future development of the automobile industry, and the main factor affecting the development of electric vehicles is the lithium battery as its power source. In order to ensure the safe, stable and normal operation of electric vehicles, it is necessary to control and manage the battery so that it can maintain good performance and prolong its service life. Therefore, rational use of batteries is very important for electric vehicles. However, obtaining the remaining power of the battery in a timely and accurate manner is the main aspect of controlling and managing the battery. This is because the remaining power of the battery directly reflects the state of the battery, through which the mileage of the electric vehicle can be predicted, overcharge and overdischarge of the battery can be avoided, and the inconsistency between battery performance can be balanced, thus ensuring the safety of the electric vehicle. safe and stable operation. Therefore, it is very important and meaningful to estimate the remaining battery power online in real time. How to effectively use the energy of the battery drives the birth of battery power estimation.
国内外研究现状：1：最早应用的方法是通过监视电池开路电压来获得剩余容量。这是因为电池端电压和剩余容量之间有一个确定的关系，测量电池端电压即可估算其剩余容量。这种方法的局限是： Research status at home and abroad: 1: The earliest applied method is to obtain the remaining capacity by monitoring the open circuit voltage of the battery. This is because there is a definite relationship between the battery terminal voltage and the remaining capacity, and the remaining capacity can be estimated by measuring the battery terminal voltage. The limitations of this approach are:
1)：对于不同厂商生产的电池，其开路电压与容量之间的关系各不相同。 1): For batteries produced by different manufacturers, the relationship between the open circuit voltage and capacity is different.
2)：只有通过测量电池空载时的开路电压才能获得相对准确的结果，但是大多数应用都需要在运行中了解电池的剩余容量，此时负载电流在内阻上产生的压降将会影响开路电压测量精度。而电池内阻的离散性很大，所以不易测量锂电池的电压。 2): Relatively accurate results can only be obtained by measuring the open circuit voltage of the battery at no load, but most applications need to know the remaining capacity of the battery during operation. At this time, the voltage drop generated by the load current on the internal resistance will affect Open circuit voltage measurement accuracy. However, the discreteness of the internal resistance of the battery is very large, so it is not easy to measure the voltage of the lithium battery.
2：而现代国内外较为先进点的电量估计算法是：首先，通过电池数据远程管理系统的自动导出功能将所需要的电池信息导出到Excel表中,并进行异常数据处理、数据的完整性处理以及电池充放电数据分类处理,为获得实验数据设计了数据处理的算法,并对实验数据进行归一化和标准化处理。然后,将与电池剩余电量有关的因素作为输入变量,电池剩余电量作为输出变量,基于Matlab平台对电池剩余电量建立神经网络模型,并用K均值聚类算法对网络进行训练。为了将该电池剩余电量估计方法应用于低成本的嵌入式系统中,本文应用神经网络影响度分析法,提取对电池剩余电量影响重要的输入变量简化神经网络的结构,对网络重新进行训练,得到电池剩余电量的预测模型。最后,论文为了解决K均值聚类算法对初始值的依赖性,研究了用遗传算法改进RBF神经网络学习算法,对隐含层中各径向基函数中心和宽度进行了全局寻优搜索,以保证找到最优解。而这种方法实施起来并不容易，并且大部分的成本都很高，动辄一套系统要成千上万元，假如一般应用成本太高，有着极强的局限性。 2: The more advanced power estimation algorithm at home and abroad is: first, through the automatic export function of the battery data remote management system, the required battery information is exported to the Excel table, and abnormal data processing and data integrity processing are performed As well as the classification and processing of battery charging and discharging data, a data processing algorithm is designed to obtain experimental data, and the experimental data is normalized and standardized. Then, taking the factors related to the remaining battery power as input variables and the remaining battery power as output variables, a neural network model is established for the remaining battery power based on the Matlab platform, and the network is trained with K-means clustering algorithm. In order to apply the remaining battery power estimation method to low-cost embedded systems, this paper applies the neural network influence degree analysis method, extracts important input variables that affect the remaining battery power, simplifies the structure of the neural network, and retrains the network to obtain A predictive model for battery remaining capacity. Finally, in order to solve the dependence of the K-means clustering algorithm on the initial value, the paper studies the genetic algorithm to improve the RBF neural network learning algorithm, and conducts a global optimization search on the center and width of each radial basis function in the hidden layer. Guaranteed to find the optimal solution. However, this method is not easy to implement, and most of the costs are very high. A system usually costs tens of thousands of yuan. If the general application cost is too high, it has strong limitations.
发明内容 Contents of the invention
根据以上现有技术的不足，本实用新型所要解决的技术问题是提出一种基于DS2788的锂电池电量管理系统，通过DS2788电量检测模块、霍尔电流检测模块和单片机模块，利用芯片DS2788、霍尔传感器、MSP430芯片检测锂电池的电压、电流、电量信息，解决了锂电池电量检测系统成本高，设计复杂，局限性大的问题，具有电路简单、成本低、测量范围广德优点，可以应用在电子产品、电动汽车等各方面，大大降低了传统高精度电量测量成本，投产进入市场有很大的市场空间。 According to the deficiencies in the prior art above, the technical problem to be solved by this utility model is to propose a lithium battery power management system based on DS2788, through the DS2788 power detection module, Hall current detection module and single-chip microcomputer module, using chip DS2788, Hall The sensor and MSP430 chip detect the voltage, current, and power information of the lithium battery, which solves the problems of high cost, complex design, and large limitations of the lithium battery power detection system. It has the advantages of simple circuit, low cost, and wide measurement range. It can be applied in Electronic products, electric vehicles and other aspects have greatly reduced the cost of traditional high-precision power measurement, and there is a lot of market space for production and entry into the market.
为了解决上述技术问题，本实用新型采用的技术方案为：一种基于DS2788的锂电池电量管理系统，所述锂电池电量管理系统包括DS2788电量检测模块、霍尔电流检测模块、单片机模块、LED显示模块和电源模块，DS2788电量检测模块和霍尔电流检测模块连接在锂电池上用来检测锂电池的电量和放电电流，霍尔电流检测模块的信号输出端连接DS2788模块的输入端，DS2788电量检测模块连接单片机模块用来输出检测数据到单片机模块，LED显示模块连接在DS2788模块上用来显示锂电池的电量电流数据，电源模块连接管理系统内的各个电气模块提供电能支持。 In order to solve the above technical problems, the technical solution adopted by the utility model is: a lithium battery power management system based on DS2788, the lithium battery power management system includes a DS2788 power detection module, a Hall current detection module, a single-chip microcomputer module, LED display Module and power module, the DS2788 power detection module and the Hall current detection module are connected to the lithium battery to detect the power and discharge current of the lithium battery. The signal output terminal of the Hall current detection module is connected to the input terminal of the DS2788 module, and the DS2788 power detection module Connect the single-chip microcomputer module to output detection data to the single-chip microcomputer module. The LED display module is connected to the DS2788 module to display the power and current data of the lithium battery. The power supply module is connected to each electrical module in the management system to provide power support.
上述系统中，所述锂电池电量管理系统还包括外部温度检测模块，外部温度检测模块连接在单片机模块上用来检测外部温度。所述锂电池电量管理系统还包括人机交互模块，人机交互模块连接在单片机模块上用来输入指令、显示数据信息。所述人机交互模块中设有OLED液晶屏和键盘，OLED液晶屏和键盘连接在单片机模块上用来显示信息、输入指令。所述霍尔电流检测模块中设有直流霍尔传感器和电池放电电流检测电路，电池放电电流检测电路的输入端连接锂电池，电池放电电流检测电路的输出端连接直流霍尔传感器，直流霍尔传感器的输出端连接DS2788模块的信号输入端。所述单片机模块采用12C5A60S2芯片及其外围电路，外围电路中包括电源电路，霍尔传感器电流采集电路，DS2788电量检测电路以及单片机模块电路。所述单片机模块的外围电路中还包括晶振电路、复位电路、按键电路、OLED显示电路以及温度传感器电路。 In the above system, the lithium battery power management system further includes an external temperature detection module connected to the single-chip microcomputer module to detect the external temperature. The lithium battery power management system also includes a human-computer interaction module connected to the single-chip microcomputer module for inputting instructions and displaying data information. The human-computer interaction module is provided with an OLED liquid crystal screen and a keyboard, and the OLED liquid crystal screen and the keyboard are connected to the single-chip microcomputer module for displaying information and inputting instructions. The Hall current detection module is provided with a DC Hall sensor and a battery discharge current detection circuit. The input end of the battery discharge current detection circuit is connected to a lithium battery, and the output end of the battery discharge current detection circuit is connected to a DC Hall sensor. The output end of the sensor is connected to the signal input end of the DS2788 module. The single-chip microcomputer module adopts 12C5A60S2 chip and its peripheral circuit, and the peripheral circuit includes a power supply circuit, a Hall sensor current acquisition circuit, a DS2788 power detection circuit and a single-chip microcomputer module circuit. The peripheral circuit of the single-chip microcomputer module also includes a crystal oscillator circuit, a reset circuit, a button circuit, an OLED display circuit and a temperature sensor circuit.
本实用新型有益效果是:本实用新型提供一种基于DS2788的锂电池电量管理系统，提供了一种低成本锂电池电量测量的方法，一般DS2788芯片只能检测锂电池数理不多时的电量，检测电流一般也不大，本实用新型经过改进电路之后，不仅可以测量电池数量不多时的电池电量，还可以应用于电动汽车，电动大巴等一些锂电池数量多，放电电流大应用场景，解决了传统测量多节锂电池的难度大，成本高的问题，对电池管理效率高。传统测量大电流电量设备成本都要超过上万元，本实用新型大大降低了传统高精度电量测量成本，投产进入市场有很大的市场空间。 The beneficial effects of the utility model are: the utility model provides a lithium battery power management system based on DS2788, and provides a low-cost lithium battery power measurement method. Generally, the DS2788 chip can only detect the power of the lithium battery when the number is not much. The current is generally not large. After the circuit is improved, the utility model can not only measure the battery power when the number of batteries is not large, but also can be applied to electric vehicles, electric buses and other application scenarios where the number of lithium batteries is large and the discharge current is large, which solves the traditional problem. It is difficult to measure multi-cell lithium batteries, and the cost is high, and the battery management efficiency is high. The cost of traditional equipment for measuring high-current electricity exceeds tens of thousands of yuan. The utility model greatly reduces the cost of traditional high-precision electricity measurement, and there is a large market space for production and entry into the market.
附图说明 Description of drawings
下面对本说明书附图所表达的内容及图中的标记作简要说明： The following is a brief description of the content expressed in the drawings of this specification and the marks in the drawings:
图1是本实用新型的具体实施方式的锂电池电量管理系统的工作结构框图。 FIG. 1 is a block diagram of the working structure of a lithium battery power management system according to a specific embodiment of the present invention.
图2是本实用新型的具体实施方式的管理系统的DS2788电量检测模块电路图。 Fig. 2 is a circuit diagram of the DS2788 power detection module of the management system of the specific embodiment of the present invention.
图3是本实用新型的具体实施方式的管理系统的霍尔电流检测以及电源模块电路图。 Fig. 3 is a circuit diagram of Hall current detection and power module of the management system of the specific embodiment of the present invention.
图4是本实用新型的具体实施方式的管理系统的单片机模块电路图。 Fig. 4 is a circuit diagram of the single-chip microcomputer module of the management system of the specific embodiment of the present invention.
具体实施方式 detailed description
下面对照附图，通过对实施例的描述，本实用新型的具体实施方式如所涉及的各构件的形状、构造、各部分之间的相互位置及连接关系、各部分的作用及工作原理、制造工艺及操作使用方法等，作进一步详细的说明，以帮助本领域技术人员对本实用新型的发明构思、技术方案有更完整、准确和深入的理解。 Below, referring to the accompanying drawings, through the description of the embodiments, the specific implementation of the present utility model, such as the shape and structure of each component involved, the mutual position and connection relationship between each part, the function and working principle of each part, and manufacturing The process, operation and use methods, etc. are further described in detail to help those skilled in the art have a more complete, accurate and in-depth understanding of the inventive concept and technical solutions of the present utility model.
基于DS2788的锂电池电量管理系统，其结构框图如图1所示，锂电池电量管理系统包括DS2788电量检测模块、霍尔电流检测模块、单片机模块、LED显示模块和电源模块，DS2788电量检测模块和霍尔电流检测模块连接在锂电池上用来检测锂电池的电量和放电电流，霍尔电流检测模块的信号输出端连接DS2788模块的输入端，DS2788电量检测模块连接单片机模块用来输出检测数据到单片机模块，LED显示模块连接在DS2788模块上用来显示锂电池的电量电流数据，电源模块连接管理系统内的各个电气模块提供电能支持。锂电池电量管理系统还包括外部温度检测模块和人机交互模块，外部温度检测模块连接在单片机模块上用来检测外部温度，人机交互模块连接在单片机模块上用来输入指令、显示数据信息。 The lithium battery power management system based on DS2788, its structural block diagram is shown in Figure 1, the lithium battery power management system includes DS2788 power detection module, Hall current detection module, single-chip microcomputer module, LED display module and power supply module, DS2788 power detection module and The Hall current detection module is connected to the lithium battery to detect the power and discharge current of the lithium battery. The signal output terminal of the Hall current detection module is connected to the input terminal of the DS2788 module, and the DS2788 power detection module is connected to the single-chip microcomputer module to output detection data to the single-chip microcomputer module, the LED display module is connected to the DS2788 module to display the power and current data of the lithium battery, and the power module is connected to each electrical module in the management system to provide power support. The lithium battery power management system also includes an external temperature detection module and a human-computer interaction module. The external temperature detection module is connected to the single-chip microcomputer module to detect the external temperature, and the human-computer interaction module is connected to the single-chip microcomputer module to input commands and display data information.
如图2所示，是DS2788电量检测模块电路图；图3，是霍尔电流检测以及电源模块电路图；图4，单片机模块电路图。 As shown in Figure 2, it is the circuit diagram of the DS2788 power detection module; Figure 3 is the circuit diagram of the Hall current detection and power module; Figure 4 is the circuit diagram of the single-chip microcomputer module.
电量检测使用美信公司的DS2788芯片，单片机模块采用广泛使用的12C5A60S2单片机，霍尔电流检测模块采用NBCZX7-500直流霍尔传感器，人机交互采用OLED显示屏和键盘，电源模块使用LM78XX系列稳压芯片，外部温度检测模块采用热敏电阻，人机交互模块与12C5A60S2单片机模块相连，电源模块负责给单片机，OLED还有DS2788芯片还有霍尔传感器供电，单片机模块可以与DS2788芯片相连，电脑计算机可以与DS2788芯片通信，DS2788电压检测端直接连到锂电池两端，LED显示模块与DS2788芯片相连，电流检测采用霍尔传感器，在通过电阻分压传给DS2788芯片。 The power detection uses Maxim's DS2788 chip, the single-chip module uses the widely used 12C5A60S2 single-chip microcomputer, the Hall current detection module uses NBCZX7-500 DC Hall sensor, the human-computer interaction uses OLED display and keyboard, and the power module uses LM78XX series voltage regulator chips , the external temperature detection module uses a thermistor, the human-computer interaction module is connected with the 12C5A60S2 single-chip microcomputer module, the power supply module is responsible for supplying power to the single-chip microcomputer, OLED, DS2788 chip and Hall sensor, the single-chip microcomputer module can be connected with the DS2788 chip, and the computer can be connected with the The DS2788 chip communicates, the DS2788 voltage detection terminal is directly connected to both ends of the lithium battery, the LED display module is connected to the DS2788 chip, the current detection uses a Hall sensor, and is transmitted to the DS2788 chip through a resistor divider.
DS2788电量检测模块选用美信公司的DS2788芯片，DS2788芯片的外围设有电压转换电路和芯片温度检测电路，测量锂电池的电压和芯片温度；霍尔电流检测以及电源模块电路采用型号为NBCZX7-500的霍尔传感器检测输出端的电流大小，电源模块使用LM7805和LM7905芯片产生正负5V电压，产生电压为单片机、DS2788芯片、OLED液晶屏以及霍尔传感器供电；单片机模块采用12C5A60S2芯片，其外围电路中包括晶振电路、复位电路、按键电路、OLED显示电路以及温度传感器电路。DS2788芯片的电压检测端直接连到锂电池两端，检测待测锂电池的电压。DS2788用于测量可充电锂离子(Li+)电池和Li+聚合物电池的电压、温度及电流，估算电池的可用电量，计算电量所需的电池包参数和应用参数存储在片上EEPROM，根据电量寄存器的内容，向单片机报告在当前温度、放电速率、存储电荷以及应用参数下，剩余电量的保守估计。剩余电量计算以毫安时和满容量的百分比表示，显示在LED显示模块上，方便工作人员随时查看。 The DS2788 power detection module uses Maxim's DS2788 chip. The periphery of the DS2788 chip is equipped with a voltage conversion circuit and a chip temperature detection circuit to measure the voltage of the lithium battery and the chip temperature; the Hall current detection and the power module circuit use the model NBCZX7-500 The Hall sensor detects the current at the output terminal. The power supply module uses LM7805 and LM7905 chips to generate positive and negative 5V voltages, and the generated voltage supplies power for the single-chip microcomputer, DS2788 chip, OLED LCD screen and Hall sensor; the single-chip microcomputer module uses the 12C5A60S2 chip, and its peripheral circuits include Crystal oscillator circuit, reset circuit, button circuit, OLED display circuit and temperature sensor circuit. The voltage detection terminal of the DS2788 chip is directly connected to both ends of the lithium battery to detect the voltage of the lithium battery to be tested. DS2788 is used to measure the voltage, temperature and current of rechargeable lithium-ion (Li+) batteries and Li+ polymer batteries, estimate the available power of the battery, and store the battery pack parameters and application parameters required for calculating the power in the on-chip EEPROM. Content, reporting to the MCU a conservative estimate of the remaining charge under the current temperature, discharge rate, stored charge, and application parameters. The remaining power calculation is expressed in mAh and the percentage of full capacity, which is displayed on the LED display module, which is convenient for the staff to check at any time.
本实用新型通过霍尔电流检测模块检测锂电池放电电流，霍尔电流检测模块中设有NBCZX7-500直流霍尔传感器和电池放电电流检测电路，电池放电电流检测电路的输入端连接锂电池，电池放电电流检测电路的输出端连接直流霍尔传感器，直流霍尔传感器得输出端连接DS2788模块的信号输入端。霍尔传感器可以检测到大于500A的电流，可以应用于电动车，电动汽车，电动大巴，电动游艇等，而传统测量大电流电量设备成本都要超过上万元，本产品采用新型方法，大大节约成本，有良好的市场。 The utility model detects the lithium battery discharge current through the Hall current detection module. The Hall current detection module is equipped with a NBCZX7-500 DC Hall sensor and a battery discharge current detection circuit. The input end of the battery discharge current detection circuit is connected to the lithium battery. The output terminal of the discharge current detection circuit is connected to the DC Hall sensor, and the output terminal of the DC Hall sensor is connected to the signal input terminal of the DS2788 module. The Hall sensor can detect a current greater than 500A, and can be applied to electric vehicles, electric vehicles, electric buses, electric yachts, etc. The cost of traditional equipment for measuring large currents exceeds tens of thousands of yuan. This product adopts a new method, which greatly saves cost, there is a good market.
单片机模块采用12C5A60S2芯片，12C5A60S2芯片读取DS2788寄存器数值，将寄存器数值用人机交互模块中的OLED液晶屏显示，并负责控制整个系统，单片机模块的外围电路中包括晶振电路，复位电路，电源电路，霍尔电流采集电路，DS2788电量检测电路以及单片机模块电路。 The single-chip microcomputer module adopts 12C5A60S2 chip, and the 12C5A60S2 chip reads the DS2788 register value, displays the register value on the OLED LCD screen in the human-computer interaction module, and is responsible for controlling the entire system. The peripheral circuit of the single-chip microcomputer module includes crystal oscillator circuit, reset circuit, power supply circuit, Hall current acquisition circuit, DS2788 power detection circuit and microcontroller module circuit.
人机交互模块连接在单片机模块上，根据单片机模块的指令显示信息，人机交互模块中设有OLED液晶屏和键盘，OLED液晶屏和键盘连接在单片机模块上用来显示信息、输入指令。液晶显示屏用于显示放电电流、电池端电压、锂电池电量相对百分比、绝对剩余电量、芯片温度、外部温度，键盘主要是激活DS2788用5个LED粗略显示电量，也可以用来查询信息，发出指令。外部温度检测模块，连接在单片机模块上，主要采用热敏电阻，通过电阻分压，将信号传入单片机，用来检测外部温度，检测结果显示在人机交互模块上。 The human-computer interaction module is connected to the single-chip microcomputer module, and displays information according to the instructions of the single-chip microcomputer module. The human-computer interaction module is provided with an OLED liquid crystal screen and a keyboard, and the OLED liquid crystal screen and keyboard are connected to the single-chip microcomputer module for displaying information and inputting instructions. The LCD screen is used to display the discharge current, battery terminal voltage, relative percentage of lithium battery power, absolute remaining power, chip temperature, and external temperature. The keyboard is mainly used to activate the DS2788 and use 5 LEDs to roughly display the power. It can also be used to query information and send out instruction. The external temperature detection module is connected to the single-chip microcomputer module, mainly using a thermistor, and the signal is transmitted to the single-chip microcomputer through the resistance divider to detect the external temperature, and the detection result is displayed on the human-computer interaction module.
锂电池电量管理系统还可以连接计算机，计算机连接在单片机模块上用来接收系统检测信息并保存信息，查询历史信息，计算机可以远程输送信息，对数据进行长期时间的保存、复杂分析，也可以保存历史信息，方便查询历史信息，调用对比数据。 The lithium battery power management system can also be connected to a computer. The computer is connected to the single-chip microcomputer module to receive system detection information and save information, query historical information, and the computer can transmit information remotely, perform long-term storage and complex analysis of data, and can also save Historical information, which is convenient for querying historical information and calling comparative data.
电源模块采用LM78XX系列的稳压芯片，提供给单片机模块和DS2788芯片的电源电压，保证单片机模块和DS2788模块的稳定电压，同时提供给系统中的霍尔传感器模块电源支持。 The power supply module adopts LM78XX series voltage regulator chip, which provides the power supply voltage for the single-chip microcomputer module and DS2788 chip, ensures the stable voltage of the single-chip microcomputer module and DS2788 module, and provides power support for the Hall sensor module in the system at the same time.
本实用新型中的锂电池电量管理系统，整体是基于DS2788芯片的设计，结合霍尔电流检测模块、单片机模块、LED显示模块、外部温度检测模块、人机交互模块和电源模块，构成了完整的锂电池电量管理系统，能够应用在一般电子产品中，还可以应用在电动车、电动汽车、电动大巴等上面，本实用新型提供的管理系统电流测量范围大于400A，电压测量范围可根据电路调整，电量百分比显示最小分辨率为1％，绝对电量分辨率为最大绝对电量的1/1000，温度检测范围在-20～100℃之间，温度分辨率为1℃，能够适合于电动市场的锂电池管理方向。 The lithium battery power management system in this utility model is based on the design of the DS2788 chip as a whole, combined with a Hall current detection module, a single-chip microcomputer module, an LED display module, an external temperature detection module, a human-computer interaction module and a power supply module to form a complete system The lithium battery power management system can be applied to general electronic products, and can also be applied to electric vehicles, electric vehicles, electric buses, etc. The current measurement range of the management system provided by the utility model is greater than 400A, and the voltage measurement range can be adjusted according to the circuit. The minimum resolution of the power percentage display is 1%, the absolute power resolution is 1/1000 of the maximum absolute power, the temperature detection range is between -20 and 100°C, and the temperature resolution is 1°C, which is suitable for lithium batteries in the electric market management direction.
上面结合附图对本实用新型进行了示例性描述，显然本实用新型具体实现并不受上述方式的限制，只要采用了本实用新型的方法构思和技术方案进行的各种非实质性的改进，或未经改进将本实用新型的构思和技术方案直接应用于其它场合的，均在本实用新型的保护范围之内。本实用新型的保护范围应该以权利要求书所限定的保护范围为准。 The utility model has been exemplarily described above in conjunction with the accompanying drawings. Obviously, the specific implementation of the utility model is not limited by the above-mentioned methods, as long as various insubstantial improvements are made by adopting the method concept and technical solutions of the utility model, or Directly applying the ideas and technical solutions of the utility model to other occasions without improvement is within the protection scope of the utility model. The protection scope of the present utility model should be determined by the protection scope defined in the claims.
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| CN107086628A (en) * | 2017-05-22 | 2017-08-22 | 安徽师范大学 | A new type of lithium battery group protection system that works together through optocoupler isolation software and hardware |
| CN110687452A (en) * | 2019-09-05 | 2020-01-14 | 南京理工大学 | Online prediction method of lithium battery capacity based on K-means clustering and Elman neural network |
| CN116910637A (en) * | 2023-04-03 | 2023-10-20 | 山东科技大学 | Short-term load forecasting method based on improved IGA-RBF neural network |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107086628A (en) * | 2017-05-22 | 2017-08-22 | 安徽师范大学 | A new type of lithium battery group protection system that works together through optocoupler isolation software and hardware |
| CN110687452A (en) * | 2019-09-05 | 2020-01-14 | 南京理工大学 | Online prediction method of lithium battery capacity based on K-means clustering and Elman neural network |
| CN110687452B (en) * | 2019-09-05 | 2022-05-20 | 南京理工大学 | Online prediction method of lithium battery capacity based on K-means clustering and Elman neural network |
| CN116910637A (en) * | 2023-04-03 | 2023-10-20 | 山东科技大学 | Short-term load forecasting method based on improved IGA-RBF neural network |
| CN116910637B (en) * | 2023-04-03 | 2024-04-26 | 山东科技大学 | Short-term load forecasting method based on improved IGA-RBF neural network |
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