Policy Iteration Algorithm-based Energy Management with Battery Lifetime Consideration for Commute Hybrid Electric Vehicles
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20144117
- Paper/Info type
- Other International Conferences
- Pages
- 1-6(Total 6 p)
- Date of publication
- May 2014
- Publisher
- Others, Unknown
- Language
- English
- Event
- EVTeC & APE Japan 2014
Detailed Information
| Category(E) | RS-7: V2G and Energy Management |
|---|---|
| Author(E) | 1) Xiaohong Jiao, 2) Tielong Shen, 3) Masakazu Sasaki |
| Affiliation(E) | 1) Yanshan University, 2) Sophia University, 3) Sophia University |
| Abstract(J) | ハイブリッド自動車におけるエネルギーマネジメントの方法として，ガソリンと電気の消費量の最小化と電池寿命劣化の最小化を考慮したシステムを提案し，確率的動的制御の反復アルゴリズムに基づいた交通情報処理と動的制御に基づく電池劣化を考慮した充放電パターン制御を併用することにより，システムを構築した． Translation |
| Abstract(E) | This paper investigates the energy management problem in consideration of the battery lifetime for commute hybrid electric vehicles running in the regular route, such as private cars, public buses and delivery trucks. A novel energy management strategy is proposed to trade off the two conflicting objectives, the minimization of fuel-electricity consumption and the minimization of battery lifetime degradation. The proposed control strategy includes the power split control for the minimization of fuel and electricity consumptions and the modified control for the power split involving the minimization of battery lifetime degradation. The power split control strategy is designed by solving stochastic optimal control problem with the statistic characteristics of traffic information based on the policy iteration algorithm of the stochastic dynamic programming (SDP), and the probability distribution of the averaged vehicle speeds in each segment of the route is obtained by the maximum likelihood estimation based on the sample information of the priori traffic flow. The modified control strategy.is given by solving the charge/discharge pattern optimization problem with the cost function of the battery lifetime degradation based on the dynamic programming (DP). A real commute hybrid electric bus is as an example of simulation model to demonstrate the availability of the proposed energy management strategy. |
