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Modeling and control methods for improving drivability, power management and fuel economy in a hybrid electric vehicle.

机译：用于改善混合动力电动汽车的驾驶性能，功率管理和燃油经济性的建模和控制方法。

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摘要

Enormous efforts and resources in research communities are focused on developing advanced energy management control systems to achieve improved fuel economy in power-split hybrid electric vehicles (HEVs). However, more research needs to be performed to improve other important attributes of HEVs as well. This research addresses other key attributes of power-split HEV as well, such as drivability, power management together with fuel economy improvement.; In this research, we first develop a complete power-split powertrain HEV model to study, analyze, design and evaluate control systems to improve attributes in a power-split HEV. The simulation and experimental vehicle tests validate the developed model and predicts the powertrain response with reasonable accuracy, and has a relatively high degree of fidelity.; Next we designed a novel controller to address a key attribute of drivability in a power-split HEV. Due to the characteristics of power-split configuration, it is very susceptible to sustained driveline oscillations. We presented the analysis on the root cause of sustained driveline resonance in power-split HEVs using both simulation and experimental tests. The designed active damping control system to address this issue in power-split HEVs for improving drivability was tested and validated for robustness under both simulation environment and experimental test vehicle.; We also present a novel approach, the first in the automotive field to implementing the rule-based fuzzy gain-scheduling PI controller to control desired engine power, engine speed and HV battery maintenance power behavior in the power-split HEV, which can improve two key attributes: drivability and HV battery power management. This control system's effectiveness was verified through simulations and experimental vehicle testing. In addition, to improve HV battery power management, we also developed an intelligent fuzzy logic based control system, again a first in the applied automotive field, that can minimize the HV battery power limits violations and hence can improve power management by enhancing HV battery life and reduce HV battery degradation. This fuzzy control system was evaluated under both simulation environment and real world HEV testing demonstrating the capability of improving power control or minimizing HV battery power limits violation.; Finally to improve the key attribute of fuel economy, we proposed an approach very different from optimization of energy management in HEVs, where we designed an advanced fuzzy rule-based driver advisory control system to provide feedback to the driver for improving fuel efficiency without significantly affecting the drivability in HEV. The simulation results and the testing in the experimental vehicle verified that the controller is capable of improving fuel economy in a HEV.
机译：研究社区的巨大努力和资源都集中在开发先进的能源管理控制系统上，以实现动力分配混合动力汽车（HEV）的燃油经济性的提高。但是，还需要进行更多的研究来改善混合动力汽车的其他重要属性。这项研究还解决了动力分配式混合动力汽车的其他关键特性，例如驾驶性能，动力管理以及燃油经济性的提高。在这项研究中，我们首先开发一个完整的动力分配动力总成混合动力汽车模型，以研究，分析，设计和评估控制系统，以改善动力分配动力混合动力汽车的属性。仿真和实验车辆测试验证了开发的模型，并以合理的准确性预测了动力总成响应，并且具有相对较高的保真度。接下来，我们设计了一种新颖的控制器来解决动力分配式混合动力汽车中驾驶性能的关键问题。由于功率分配配置的特性，它非常容易受到传动系统持续振荡的影响。我们通过仿真和实验测试对动力分配式混合动力汽车中持续传动系统共振的根本原因进行了分析。为解决动力分配混合动力混合动力汽车中的此问题而设计的主动阻尼控制系统，用于改善驾驶性能，并在仿真环境和实验测试车辆下进行了测试，并验证了其鲁棒性。我们还提出了一种新颖的方法，这是汽车领域中第一个实现基于规则的模糊增益调度PI控制器，以控制功率分配式混合动力汽车中所需的发动机功率，发动机转速和HV电池维护功率行为的方法，该方法可以改善两种关键属性：可驾驶性和高压电池电源管理。该控制系统的有效性通过仿真和实验车辆测试得到了验证。此外，为了改善高压电池电源管理，我们还开发了基于智能模糊逻辑的控制系统，这也是应用领域中的第一个控制系统，该系统可以最大程度地减少违反高压电池电源限制的情况，因此可以通过延长高压电池寿命来改善电源管理并减少高压电池的退化。该模糊控制系统是在仿真环境和现实世界的HEV测试下进行评估的，证明了其能够改善功率控制或将违反HV电池功率限制的情况降到最低。最后，为了改善燃油经济性的关键属性，我们提出了一种与混合动力汽车中的能源管理优化非常不同的方法，在该方法中，我们设计了一种基于模糊规则的高级驾驶员咨询控制系统，以向驾驶员提供反馈，从而在不显着影响燃油效率的情况下提高燃油效率混合动力汽车的驾驶性能。仿真结果和在实验车辆中的测试证明，该控制器能够提高混合动力汽车的燃油经济性。

著录项

  • 作者

    Syed, Fazal Urrahman.;

  • 作者单位

    Wayne State University.$bElectrical Engineering.;

  • 授予单位 Wayne State University.$bElectrical Engineering.;
  • 学科 Engineering Automotive.; Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 225 p.
  • 总页数 225
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术及设备;无线电电子学、电信技术;
  • 关键词

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