太阳能辅助混合动力房车传动系统匹配与控制策略研究
发布时间:2018-05-13 13:12
本文选题:太阳能辅助混合动力房车 + 车辆控制器 ; 参考:《哈尔滨工业大学》2016年硕士论文
【摘要】:近年来,在能源危机、环境危机与房车市场快速发展的背景下,越来越多的国内外企业开始着眼于开发新能源房车。随着国内外车企对混合动力技术的研究日趋成熟,一种以太阳能作为辅助动力的太阳能辅助混合动力房车应运而生。太阳能辅助混合动力房车是在传统油电混合动力传动系统的基础上增加太阳能电池作为辅助动力和蓄电池一起给电机提供能量,具备高效、节能的特点,既达到了保护环境、缓解能源危机的目的,又满足广大消费者对房车的需求。本文以传动系统参数匹配优化和控制策略仿真分析为重点,进行太阳能辅助混合动力房车传动系统匹配和控制策略研究。选择太阳能辅助混合动力房车结构型式,确定传动系统方案,分析传动系统组成结构并对关键部件进行选型。根据行驶工况结合整车基本参数和动力指标对太阳能辅助混合动力房车传动系统关键部件进行参数匹配与建模。将匹配结果导入到ADVISOR软件中进行性能仿真验证匹配的合理性。运用Auto-size模块对匹配的参数进行优化,将优化前后的参数导入到ADVISOR软件中进行性能仿真对比分析。根据太阳能辅助混合动力房车控制策略的原理分别设计太阳能辅助混合动力房车的驱动模糊控制策略和制动模糊控制策略。将模糊控制策略导入到ADVISOR整车模型中与软件自带的电机助力型控制策略进行仿真对比分析。此外,对太阳能辅助混合动力房车的车辆控制器进行硬件设计,包括车辆控制器MCU芯片的最小系统、CAN通讯模块和信号采集模块电路的设计。太阳能辅助混合动力房车性能仿真结果表明达到动力指标要求,参数匹配合理。通过优化前后性能仿真对比分析可以发现,动力性优化目标0-50km/h加速时间减少了2.6%,经济性优化目标百公里燃油消耗量减少了4.5%,可见优化后车辆的动力性和经济性都得到一定程度的改善。通过控制策略仿真对比分析可以发现,运用模糊控制策略时蓄电池SOC能够维持在0.6与0.7之间;在车辆制动时,模糊控制的电机输出功率绝对值远远大于电机助力型控制,电机回收的制动能量高于电机助力型控制;电机输出转矩和发动机输出转矩也明显要高于电机助力型控制。在仿真过程中,太阳能电池输出能量占蓄电池输出能量和太阳能电池输出能量总和的5.1%,可见太阳能电池起到辅助的作用。
[Abstract]:In recent years, in the context of the energy crisis, the environmental crisis and the rapid development of the car market, more and more enterprises at home and abroad have begun to focus on the development of new energy vehicles. With the growing maturity of the research on hybrid power technology at home and abroad, a solar assisted hybrid power car with solar energy as a auxiliary power arises at the historic moment. On the basis of the traditional oil and electricity hybrid power transmission system, the Yang energy auxiliary hybrid electric vehicle increases the solar cell as the auxiliary power and the battery to provide the energy to the motor. It has the characteristics of high efficiency and energy saving. It not only achieves the protection of the environment, alleviate the energy crisis, but also satisfies the demand of the consumers to the car. The key of the transmission system parameter matching optimization and control strategy simulation analysis is to carry out the research on the matching and control strategy of the solar assisted hybrid electric vehicle transmission system. Select the solar auxiliary hybrid electric vehicle structure type, determine the transmission system scheme, analyze the structure of the transmission system and select the key components. The parameters matching and modeling of the key components of the solar assisted hybrid electric vehicle transmission system are combined with the basic vehicle parameters and dynamic indexes. The matching results are introduced into the ADVISOR software for performance simulation verification and matching. The parameters of the matched parameters are optimized by using the Auto-size module, and the parameters before and after the optimization are introduced into A The performance simulation of DVISOR software is compared and analyzed. Based on the principle of solar assisted hybrid electric vehicle control strategy, the driving fuzzy control strategy and the braking fuzzy control strategy of the solar auxiliary hybrid vehicle are designed respectively. The fuzzy control strategy is introduced into the ADVISOR vehicle model and the motor power control control with the software self-contained The strategy carries on the simulation contrast analysis. In addition, the hardware design of the vehicle controller of the solar assisted hybrid electric vehicle, including the minimum system of the vehicle controller MCU chip, the CAN communication module and the signal acquisition module circuit, is designed. The performance simulation results of the solar assisted hybrid RV show that the parameters of the power index are reached and the parameters are obtained. According to the comparison and analysis of performance simulation before and after optimization, it is found that the acceleration time of the dynamic optimization target 0-50km/h is reduced by 2.6%, the fuel consumption of the optimization target is reduced by 4.5%, and the power and economy of the vehicle are improved to a certain extent. It is found that the battery SOC can be maintained between 0.6 and 0.7 when the fuzzy control strategy is used. When the vehicle braking, the absolute value of the motor output power of the fuzzy control is far greater than the motor power control. The braking energy of the motor is higher than the motor support control; the output torque of the motor and the output torque of the engine are also obviously higher than that of the motor aid. In the process of simulation, the output energy of the solar cell accounts for 5.1% of the total output energy of the battery and the output energy of the solar cell, and it can be seen that the solar cell plays an auxiliary role.
【学位授予单位】:哈尔滨工业大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:U469.7
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本文编号:1883292
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