Design of an eco-gearshift control strategy under a logic system framework

KANG Ming-xin; GAO Jin-wu

doi:10.1631/FITEE.1900459

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Design of an eco-gearshift control strategy under a logic system framework

Special Issue on Complex Systems and Networks with Their Applications | Updated：2022-05-19

- Design of an eco-gearshift control strategy under a logic system framework
- 基于逻辑系统框架的节能换档控制策略设计
- Frontiers of Information Technology & Electronic Engineering Vol. 21, Issue 2, Pages: 340-350(2020)
- Affiliations：
  
  State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China
  College of Communication Engineering, Jilin University, Changchun 130012, China
- Author bio：
  
  [ "Ming-xin KANG, E-mail: kangmx@mail.neu.edu.cn" ]
  [ "Jin-wu GAO, E-mail: gaojw@jlu.edu.cn" ]
- Funds：
- DOI：10.1631/FITEE.1900459
  CLC： TP13
- Received：31 August 2019，
  
  Revised：2019-11-15，
  
  Published：2020-02
- Accepted：
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KANG Ming-xin, GAO Jin-wu. Design of an eco-gearshift control strategy under a logic system framework[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(2): 340-350.
DOI：

KANG Ming-xin, GAO Jin-wu. Design of an eco-gearshift control strategy under a logic system framework[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(2): 340-350. DOI： 10.1631/FITEE.1900459.

摘要

交通信息的有效获取为汽车动力系统节能减排控制带来巨大潜力。提出一种旨在提升汽车燃油经济性能的基于逻辑控制的换挡策略。通过分析处理历史驾驶数据和实时交通信息，驾驶员在特定路段的功率需求显示出随机特征且可被统计分析；该随机特征为换挡策略设计提供了新思路。考虑到档位控制的离散特性，换挡策略可在逻辑系统框架下设计。鉴于此，汽车车速动态被离散量化为若干逻辑状态，进而可用马尔可夫过程模型建模为一个逻辑系统。在逻辑系统框架下，将汽车燃油优化问题建模为滚动时域档位优化控制问题，并采用基于代数运算的动态优化算法在线求解最优档位控制策略。仿真结果表明，相较于传统换挡策略，所提出的控制器能有效提升燃油经济性能。

Abstract

Good access to traffic information provides enormous potential for automotive powertrain control. We propose a logical control approach for the gearshift strategy

aimed at improving the fuel efficiency of vehicles. The driver power demand in a specific position usually exhibits stochastic features and can be statistically analyzed in accordance with historical driving data and instant traffic conditions; therefore

it offers opportunities for the design of a gearshift control scheme. Due to the discrete characteristics of a gearshift

the control design of the gearshift strategy can be formulated under a logic system framework. To this end

vehicle dynamics are discretized with several logic states

and then modeled as a logic system with the Markov process model. The fuel optimization problem is constructed as a receding-horizon optimal control problem under the logic system framework

and a dynamic programming algorithm with algebraic operations is applied to determine the optimal strategy online. Simulation results demonstrate that the proposed control design has better potential for fuel efficiency improvement than the conventional method.

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