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Anotace C ́ılem t ́eto pra ́ce je prozkoumat zp ̊usoby a moˇznosti HMI nab ́ızeny ́ch v souˇcasn ́e dobˇe na automobilov ́em trhu a na ́slednˇe navrhnout ˇreˇsen ́ı pro pla ́nov ́an ́ı trasy s ohledem na um ́ıstˇen ́ı dob ́ıjec ́ıch stanic a jejich vy ́konu pro elektricka ́ vozidla. Dalˇs ́ım u ́kolem je naimplementovat mapov ́e podklady a zobrazit na mapˇe dojezdovou vzda ́lenost ve tvaru polygonu s ohledem na aktu ́aln ́ı kapacitu baterie v elektromobilu. Pro ˇreˇsen ́ı zm ́ınˇeny ́ch probl ́em ̊u je vyuˇzito nˇekolik API od fy. Google. Navrˇzen ́e algoritmy byly na ́slednˇe implementova ́ny do dodan ́e Android aplikace, ktera ́ zajiˇstuje komunikaci s elektromobilem. Jednoliv ́e algoritmy byly na ́slednˇe otestova ́ny (Software in the Loop) a pot ́e tak ́e probˇehlo testova ́n ́ı na rea ́ln ́em Demo elektromobilu. Kl ́ıˇcov ́a slova HMI, elektricka ́ vozidla, nab ́ıjec ́ı stanice, pla ́nova ́n ́ı trasy, dojezdova ́ vzda ́lenost, Google API Abstract The main objective of this study is to research the HMI concepts available on the market for electric vehicles and design a solution of trajectory planning, taking into account the location of charging stations and their power. The next objective is to implement Google maps and display driving range on the map as a polygon with respect to the vehicle’s bat- tery capacity. Several APIs from Google were used to solve the aforementioned problems. The designed algorithms were implemented to an Android app which communicates with an electric vehicle. All developed algorithms were tested using the Software in the loop approach for several use cases. After that, the developed application was verified in several real time tests and experiments in a Demo vehicle. Keywords HMI, electric vehicles, charging stations, route planning, driving range, Google API 3PDF Image | Driving Range Estimation and Trajectory Planning
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