Optimized energy management control for the Toyota Hybrid System using dynamic programming on a predicted route with short computation time
type: Dataset
description: International audience
issued: 2026-05-29T00:57:16.787499
language: en
modified: 2026-05-29T00:57:16.787509
contact point: Organization
  fn: CCSD
keyword: automotive-industry
keyword: controllers
keyword: dynamic-programming
keyword: energy-consumption-savings
keyword: energy-management-strategy
keyword: energy-utilization
keyword: fuel-economy
keyword: fuels
keyword: global-optimization
keyword: highway-administration
keyword: hybrid-powertrains
keyword: hybrid-systems
keyword: infoeu-reposemanticsarticle
keyword: journal-articles
keyword: predictive-control
keyword: road-tests
keyword: roads-and-streets
keyword: rule-based-control
keyword: spienergengineering-sciences-physicsdomainspienerg
landing page: International Journal of Automotive Technology

Optimized energy management control for the Toyota Hybrid System using dynamic programming on a predicted route with short computation time
type: Distribution
format: HTML
issued: 2026-05-29T00:57:16.940701
modified: 2026-05-29T00:57:16.701632
access URL: https://minesparis-psl.hal.science/hal-00769622

test_moissonnage_selune
type: Agent