E_mobile_Energy_WP01

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F15%3A00240043" target="_blank" >RIV/68407700:21220/15:00240043 - isvavai.cz</a>

Result on the web

<a href="http://fs12120/softlib/2015/E_mobile_Energy.zip" target="_blank" >http://fs12120/softlib/2015/E_mobile_Energy.zip</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

E_mobile_Energy_WP01

Original language description

Model of battery electric vehicle energy consumption suitable for optimization in Design Assistance System (DASY) software is based on simplified but comprehensive model of vehicle longitudinal dynamics (driving resistance and powertrain efficiency including HAVC system). Model includes algebraic and differential equations for system dynamics with regression models of powertrain losses and suitability of energy recuperation during braking or going downhill. Thermal capacity of powertrain cooling system and car body HVAC is integrated. HVAC system contains heat pumps utilizing waste heat from cooling system. Non-dimensional power, speed or force limiting parameters define a small set of 9-13 optimization generic variables valid during the whole trip and subjected to optimization procedure. Model predicting energy consumption and the range available is applied to pre-defined route obtained by combining e-map and vehicle-to-infrastructure communication (traffic density, weather conditions, etc.). It uses predictions from e-horizon during a trip to cut unnecessary energy consumption (e.g., braking going up-hill). Loading/unloading and charging stops with possibility of temperature pre-conditioning are taken into account. The model is prepared for up-dating of optimized route schedule during a trip, adding adaptive features to basic pre-trip optimization. Model can be applied to vehicle electronic control unit. The on-line calibration is possible if data logging is used by comparing the achieved consumption with prediction. Pavel Steinbauer, Petr Denk, Jan Macek, Josef Morkus, Zbyněk Šika: E-vehicle energy consumption optimization based on fleet and infrastructure information. Advanced Mechatronic Solutions, Springer 2015 ISBN 978-3-319-23921-7, pp. 273-278.

Czech name

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Czech description

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Type

R - Software

CEP classification

JO - Land transport systems and equipment

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2015

Confidentiality

C - Předmět řešení projektu podléhá obchodnímu tajemství (§ 504 Občanského zákoníku), ale název projektu, cíle projektu a u ukončeného nebo zastaveného projektu zhodnocení výsledku řešení projektu (údaje P03, P04, P15, P19, P29, PN8) dodané do CEP, jsou upraveny tak, aby byly zveřejnitelné.

Internal product ID

E_mobile_Energy_v9_T06

Technical parameters

1-15 MB EXCEL podle délky a složitosti trasy, velmi složité algebraické vzorce programované pomocí Equation Editor; externí součást DASY

Economical parameters

cena 100 000 Kč; umožňuje rychlou prediktivní optimalizaci i během jízdy a kalibraci parametrů porovnáním výsledků s predikcí. Zadání trasy je poskytováno dalšími programy.

Owner IČO

68407700

Owner name

12000