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The Prediction Model for Road Slope of Electric Vehicles Based on Stacking Framework of Deep Learning

  • Published:2023 Issue: Volume:11 Page:22880-22888
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Zhu Zongkai1ORCID,He Chao1ORCID,Li Jiaqiang1,Liu Xueyuan1ORCID,Ma Rong1

Affiliation:

1. School of Machinery and Transportation, Southwest Forestry University, Kunming, China

Funder

National Natural Science Foundation of China

Yunnan Provincial High Level Talent Support Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference42 articles.

1. Barometer-aided road grade estimation;parviainen;Proc 13th IAIN world Congr,2009

2. Modelling and predicting energy consumption of a range extender fuel cell hybrid vehicle

3. Road grade estimation for look-ahead vehicle control using multiple measurement runs

4. Road grade estimation using intelligent algorithms for fuel cell vehicles;wang;J Chongqing Univ,2021

5. Investigation of different techniques for determining the road uphill gradient and the pitch angle of vehicles

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1. Self-Evolution LSTM Network with Knowledge-Guided Multi-Objective Particle Swarm Optimization for Road Gradient Prediction;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17
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