Energy Optimal Control Strategy of PHEV Based on PMP Algorithm

Tiezhou Wu,Yi Ding,Yushan Xu

doi:10.1155/2017/6183729

Abstract

Under the global voice of “energy saving” and the current boom in the development of energy storage technology at home and abroad, energy optimal control of the whole hybrid electric vehicle power system, as one of the core technologies of electric vehicles, is bound to become a hot target of “clean energy” vehicle development and research. This paper considers the constraints to the performance of energy storage system in Parallel Hybrid Electric Vehicle (PHEV), from which lithium-ion battery frequently charges/discharges, PHEV largely consumes energy of fuel, and their are difficulty in energy recovery and other issues in a single cycle; the research uses lithium-ion battery combined with super-capacitor (SC), which is hybrid energy storage system (Li-SC HESS), working together with internal combustion engine (ICE) to drive PHEV. Combined with PSO-PI controller and Li-SC HESS internal power limited management approach, the research proposes the PHEV energy optimal control strategy. It is based on revised Pontryagin’s minimum principle (PMP) algorithm, which establishes the PHEV vehicle simulation model through ADVISOR software and verifies the effectiveness and feasibility. Finally, the results show that the energy optimization control strategy can improve the instantaneity of tracking PHEV minimum fuel consumption track, implement energy saving, and prolong the life of lithium-ion batteries and thereby can improve hybrid energy storage system performance.

Highlights

In 2015, the incident that the illegal use of emissions control software of Volkswagen further triggers a strong concern on cars “energy saving” problem
DP algorithm has a larger calculation and is more timeconsuming, so it is difficult for practical application, while the energy optimal control strategy based on Pontryagin’s minimum principle (PMP) algorithm is becoming research focus in recent years with the advantages of its fast speed and the smaller amount of calculation than DP algorithm
It verifies the feasibility of energy-optimized controlling electric vehicles by PMP algorithm

Summary

Introduction

In 2015, the incident that the illegal use of emissions control software of Volkswagen further triggers a strong concern on cars “energy saving” problem. How to coordinate each of storage units charging/discharging and optimize energy management of vehicle power system in real time is the key to implement the performance optimization of Li-SC HESS and minimize fuel consumption in PHEV. Masih-Tehrani et al [2] considers factors like fuel consumption, periodic battery replacement, and others and proposes a DP algorithm based on PHEV management costs, which considerably improves energy economy. PMP global optimization control algorithm has been adopted, which combines with Li-SC HESS internal power limited management strategy, taking an energy optimal control to PHEV, having an optimal management of lithium-ion battery charging/discharging states, improving the Li-SC HESS performance, and ensuring that the vehicle fuel consumption during running can track the fuel consumption minimum trajectory in real time

PHEV Driven Model

Problem Description of PHEV Energy Management Optimization

Energy Optimal Management Strategy Based on PMP Algorithm

Results and Analysis

Summary