A Pontryagin Minimum Principle-Based Adaptive Equivalent Consumption Minimum Strategy for a Plug-in Hybrid Electric Bus on a Fixed Route

By Shaobo Xie, Huiling Li, Zongke Xin, Tong Liu, Lang Wei. 2017

71 citations recorded by the source corpus.

When developing a real-time energy management strategy for a plug-in hybrid electric vehicle, it is still a challenge for the Equivalent Consumption Minimum Strategy to achieve near-optimal energy consumption, because the optimal equivalence factor is not readily available without the trip information. With the help of realistic speeding profiles sampled from a plug-in hybrid electric bus running on a fixed commuting line, this paper proposes a convenient and effective approach of determining the equivalence factor for an adaptive Equivalent Consumption Minimum Strategy. Firstly, with the adaptive law based on the feedback of battery SOC, the equivalence factor is described as a combination of the major component and tuning component. In particular, the major part defined as a constant is applied to the inherent consistency of regular speeding profiles, while the second part including a proportional and integral term can slightly tune the equivalence factor to satisfy the disparity of daily running cycles. Moreover, Pontryagin’s Minimum Principle is employed and solved by using the shooting method to capture the co-state dynamics, in which the Secant method is introduced to adjust the initial co-state value. And then the initial co-state value in last shooting is taken as the optimal stable constant of equivalence factor. Finally, altogether ten successive driving profiles are selected with different initial SOC levels to evaluate the proposed method, and the results demonstrate the excellent fuel economy compared with the dynamic programming and PMP method.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a5843bc923e550846f018ec86d7134725d332e39

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Shaobo Xie
2. Zongke Xin
3. James Brighton
4. Xiaosong Hu

In Electrical and Electronic Engineering

1. Shaobo Xie
2. Zongke Xin
3. James Brighton
4. Xiaosong Hu

Citations in the corpus

• Pontryagin’s Minimum Principle based model predictive control of energy management for a plug-in hybrid electric bus (2019, methodology): “The PMP-MPC method differs from other widely used ECMS-based predictive energy management strategies that require tuning of the equivalent factor using a variety of complicated approaches [23].”